대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference) (Proceedings of the KIEE Conference)
대한전기학회 (The Korean Institute of Electrical Engineers)
- 기타
- 대한전기학회 2008년도 정기총회 및 학술대회 전문대학교육위원
- 대한전기학회 2008년도 추계학술대회 논문집 전력기술부문
- 대한전기학회 2008년도 학술대회 논문집 정보 및 제어부문
- 대한전기학회 2008년도 Techno-Fair 및 추계학술대회 논문집 전기물성,응용부문
- 대한전기학회 2008년도 추계학술대회 논문집 전기기기 및 에너지변환시스템부문
- 대한전기학회 2008년도 추계학술대회 논문집 전기설비전문위원
- 대한전기학회 2008년도 제39회 하계학술대회
- 대한전기학회 2008년도 Techno-Fair 및 합동춘계학술대회 논문집 전기물성,응용부문
- 대한전기학회 2008년도 춘계학술대회 논문집 전기기기 및 에너지변환시스템부문
- 대한전기학회 2008년도 심포지엄 논문집 정보 및 제어부문
- 대한전기학회 2008년도 춘계학술대회 논문집 전기설비전문위원
- 대한전기학회 2007년도 학술대회 논문집 전문대학교육위원
- 대한전기학회 2007년도 추계학술대회 논문집 전력기술부문
- 대한전기학회 2007년도 Techno-Fair 및 추계학술대회 논문집 전기물성,응용부문
- 대한전기학회 2007년도 추계학술대회 논문집 전기설비전문위원
- 대한전기학회 2007년도 심포지엄 논문집 정보 및 제어부문
- 대한전기학회 2007년도 추계학술대회 논문집 전기기기 및 에너지변환시스템부문
- 대한전기학회 2007년도 제38회 하계학술대회
- 대한전기학회 2007년도 심포지엄 논문집 정보 및 제어부문
- 대한전기학회 2007년도 춘계학술대회 논문집 전기설비전문위원
- 대한전기학회 2007년도 춘계학술대회 논문집 전기기기 및 에너지변환시스템부문
- 대한전기학회 2006년도 추계학술대회 논문집 전력기술부문
- 대한전기학회 2006년 학술대회 논문집 정보 및 제어부문
- 대한전기학회 2006년도 추계학술대회 논문집 전기물성,응용부문
- 대한전기학회 2006년도 학술대회 논문집 전문대학교육위원
- 대한전기학회 2006년도 추계학술대회 논문집 전기기기 및 에너지변환시스템부문
- 대한전기학회 2006년도 제37회 하계학술대회 논문집 전기설비
- 대한전기학회 2006년도 제37회 하계학술대회 논문집 D
- 대한전기학회 2006년도 제37회 하계학술대회 논문집 C
- 대한전기학회 2006년도 제37회 하계학술대회 논문집 B
- 대한전기학회 2006년도 제37회 하계학술대회 논문집 A
- 대한전기학회 2006년도 춘계학술대회 논문집 전기설비전문위원
- 대한전기학회 2006년도 심포지엄 논문집 정보 및 제어부문
- 대한전기학회 2006년도 춘계학술대회 논문집 전기기기 및 에너지변환시스템부문
- 대한전기학회 2005년도 추계학술대회 논문집 전기설비전문위원
- 대한전기학회 2005년도 추계학술대회 논문집 전력기술부문
- 대한전기학회 2005년도 추계학술대회 논문집 전기물성,응용부문
- 대한전기학회 2005년도 학술대회 논문집 정보 및 제어부문
- 대한전기학회 2005년도 추계학술대회 논문집 전기기기 및 에너지변환시스템부문
- 대한전기학회 2005년도 학술대회 논문집 전문대학교육위원
- 대한전기학회 2005년도 제36회 하계학술대회 논문집 전기설비
- 대한전기학회 2005년도 제36회 하계학술대회 논문집 D
- 대한전기학회 2005년도 제36회 하계학술대회 논문집 C
- 대한전기학회 2005년도 제36회 하계학술대회 논문집 B
- 대한전기학회 2005년도 제36회 하계학술대회 논문집 A
- 대한전기학회 2005년도 춘계학술대회 논문집 전기설비전문위원
- 대한전기학회 2005년도 심포지엄 논문집 정보 및 제어부문
- 대한전기학회 2005년도 춘계학술대회 논문집 전기기기 및 에너지변환시스템부문
- 대한전기학회 2004년도 추계학술대회 논문집 전기설비전문위원
- 대한전기학회 2004년도 학술대회 논문집 정보 및 제어부문
- 대한전기학회 2004년도 추계학술대회 논문집 전력기술부문
- 대한전기학회 2004년도 추계학술대회 논문집 전기물성,응용부문
- 대한전기학회 2004년도 추계학술대회 논문집 전기기기 및 에너지변환시스템부문
- 대한전기학회 2004년도 하계학술대회 논문집 D
- 대한전기학회 2004년도 하계학술대회 논문집 C
- 대한전기학회 2004년도 하계학술대회 논문집 B
- 대한전기학회 2004년도 하계학술대회 논문집 A
- 대한전기학회 2004년도 학술대회 논문집 전문대학교육위원
- 대한전기학회 2004년도 춘계학술대회 논문집 전기설비전문위원
- 대한전기학회 2004년도 심포지엄 논문집 정보 및 제어부문
- 대한전기학회 2004년도 춘계학술대회 논문집 전기기기 및 에너지변환시스템부문
- 대한전기학회 2003년도 학술회의 논문집 정보 및 제어부문 B
- 대한전기학회 2003년도 학술회의 논문집 정보 및 제어부문 A
- 대한전기학회 2003년도 추계학술대회 논문집 전력기술부문
- 대한전기학회 2003년도 추계학술대회 논문집 전기물성,응용부문
- 대한전기학회 2003년도 추계학술대회 논문집 전기기기 및 에너지변환시스템부문
- 대한전기학회 2003년도 하계학술대회 논문집 D
- 대한전기학회 2003년도 하계학술대회 논문집 C
- 대한전기학회 2003년도 하계학술대회 논문집 B
- 대한전기학회 2003년도 하계학술대회 논문집 A
- 대한전기학회 2003년도 학술대회 논문집 전문대학교육위원
- 대한전기학회 2003년도 춘계학술대회 논문집 전기기기 및 에너지변환시스템부문
- 대한전기학회 2002년도 합동 추계학술대회 논문집 정보 및 제어부문
- 대한전기학회 2002년도 추계학술대회 논문집 전력기술부문
- 대한전기학회 2002년도 추계학술대회 논문집 전기기기 및 에너지변환시스템부문
- 대한전기학회 2002년도 추계학술대회 논문집 전기물성,응용부문
- 대한전기학회 2002년도 하계학술대회 논문집 D
- 대한전기학회 2002년도 하계학술대회 논문집 C
- 대한전기학회 2002년도 하계학술대회 논문집 B
- 대한전기학회 2002년도 하계학술대회 논문집 A
- 대한전기학회 2002년도 학술대회 논문집 전문대학교육위원
- 대한전기학회 2002년도 춘계학술대회 논문집 전기기기 및 에너지변환시스템부문
- 대한전기학회 2001년도 합동 추계학술대회 논문집 정보 및 제어부문
- 대한전기학회 2001년도 추계학술대회 논문집 전력기술부문
- 대한전기학회 2001년도 추계학술대회 논문집 전기물성,응용부문
- 대한전기학회 2001년도 추계학술대회 논문집 전기기기 및 에너지변환시스템부문
- 대한전기학회 2001년도 하계학술대회 논문집 D
- 대한전기학회 2001년도 하계학술대회 논문집 C
- 대한전기학회 2001년도 하계학술대회 논문집 B
- 대한전기학회 2001년도 하계학술대회 논문집 A
- 대한전기학회 2001년도 학술대회 논문집 전문대학교육위원
- 대한전기학회 2001년도 춘계학술대회 논문집 전력기술부문
- 대한전기학회 2001년도 춘계학술대회 논문집 전기기기 및 에너지변환시스템부문
- 대한전기학회 1999년도 추계학술대회 논문집 학회본부 C
- 대한전기학회 1999년도 추계학술대회 논문집 학회본부 B
- 대한전기학회 1999년도 추계학술대회 논문집 학회본부 A
- 대한전기학회 1999년도 추계학술대회 논문집 전문대학교육위원 P
- 대한전기학회 1999년도 하계학술대회 논문집 G
- 대한전기학회 1999년도 하계학술대회 논문집 F
- 대한전기학회 1999년도 하계학술대회 논문집 E
- 대한전기학회 1999년도 하계학술대회 논문집 D
- 대한전기학회 1999년도 하계학술대회 논문집 C
- 대한전기학회 1999년도 하계학술대회 논문집 B
- 대한전기학회 1999년도 하계학술대회 논문집 A
- 대한전기학회 1999년도 학술대회 논문집 전문대학교육위원
대한전기학회 1995년도 하계학술대회 논문집 B
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High impedance fault can not be easily detected by conventional method. But if it would not be detected and cleared quickly, it can result in fires, and electric shock. In this paper, ANN, which has learning capability, is used for high impedance fault detection. The potential of the neural network approach is demonstrated by simulation using KEPCO's measured data. Among ANN models used in this paper, CPN shows better result than BPN in respect of convergence and reliability.
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In this paper, a series compensator with a resonant LC circuit and a shunt compensator with the resonant circuit are compared based on the respective rating of its circuit elements. The rating are calculated over a range of compensation and over a range of bus angle. The components ratings are expressed in a per unit values. The results of this study can be easily converted to actual MVA by a simple change in scale. The methodology presented to rate the various components within the system will help to determine the feasibility of various FACTS devices in costs.
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This paper deals with the aliasing problem minimized by using an analog low-pass prefilter have a sampling frequency of 18000 Hz is designed and describes to extract their fundamental frequency components by AFT filter. And them distance relaying algorithm based AFT filter is computational simple, good frequency response and fast convergence in calculation of system apparant impedance. We performed off-line simulation using data from EMTP.
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The conventional technique to deal with CT saturation is overdimensioning of the core so that CTs can carry up to 20 times the rated current without exceeding 10% ratio correction. However, this not only reduces the sensitivity of relays, but also increases the CT core size in proportion to the expected maximum fault current to avoid CT saturation. This paper presents a technique of estimating the secondary current corresponding to the CT ratio which can reduce the required CT core cross section significantly.
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A Typical load pattern has been an important role in operation and cogeneration planning of unit building. In this paper, The self-organising feature maps have been applied to indentify the day type of unit building using measured load data. Also correlation coefficient method was used for this. These results are presented.
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This paper proposes an expert system with improved heuristics in order to enhence convergence rate to the optimal solution when an emergence problem occurrs in the automated large scale distribution system. These heurictics, which a re obtained from the line loss and load balancing change after a line section transferred, are newly adopted for the emergence problem.
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This paper proposes a GAs-applied method for power system planning using series capacitors in order to control the flow of power as desired and utilize the existing transmission facilities to its transfer capacity limits. The control strategy problem is formulated as optimization problem. Also, in employing genetic algorithms to solve the optimization problems, real variable-based genetic algorithm is presented to save the coding processing time and obtain more accurate value of the variable. An application to IEEE 57-bus test system proves that the proposed method is effective for improvement of power system transfer capacity.
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This paper presents an optimization technique using genetic algorithms(GA) for loss minimization in the distribution network reconfiguration. Determining switch position to be opened for loss minimization in the radial distribution system is a discrete optimization problem. GA is appropriate to solve the multivariable optimization problem and it uses population, not a solution. For this reason, GA is attractive to solve this problem. In this paper, we aimed at finding appropriate open sectionalizing switch position using GA, which can lead to minimum transmission losses.
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In this paper, the method of long-term load forecasting using a fuzzy neural network of which input is a fuzzy membership function value of a input variable like as GNP which is considered to affect demand of load. The proposed method was applicated in Korea Electric Power Corporation (KEPCO). The comparison with Error Back-Propagation Neural Network has been shown.
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This paper presents a methodology of improving a conventional numerical model in power systems using GAs and a new GAs-based model which can directly solve the real-valued optimum in the optimization procedure. The power flow which is well known to the power engineer is solved using the proposed GAs as an alternative way of the traditional optimization method. In applying GAs to the power flow, both the notions on a way of the genetic representations and a realization of the genetic operators are fully discussed to evaluate the GA's effectiveness.
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The effect of static var compensator(SVC) in one machine infinite bus system is investigated. SVC is installed in generator terminal and the structure of state matrix including SVC is represented. Eigenvalue analysis is performed in changing the value of SVC parameter to show the effect of SVC. The effect of SVC in eigenvalue analysis is small in the case of one machine infinite bus system.
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Whenever faults(a fault) occur(s) in a particular section of a distribution system, some of loads get disconnected and are left unsupplied. Service should be restored to these affected load points as quickly as possible through network reconfiguration. An efficient technique is presented in this paper for this purpose. Network reduction and strategy testing the voltage and current constraints are the main contributions of this paper.
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The surge arrester plays a vital role in the protection of substation against transient overvoltages resulting from lightning surges and system switching operations. The proper selection and application of the surge arrester is an integral part of the process of substation equipment insulation level selection. The paper outlines the basic consideration in modeling the lightning stroke, the surge arrester, and the system to be protected. The paper discusses the results of various cases simulated using the alternative transient computer program to evaluate the separation effects.
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The relay protection engineers are sometimes faced with the difficulties in full protection of high-inertia drive motors during acceleration period. The problem results from lower permitted locked rotor time of the motor compared with motor starting time. Even though the various types of protection relay and other device (Speed switch, Distance relay) are used, the full protections against abnormal starting conditions may not be available. So, the development of a new speed-biased overcurrent relay is suggested in this paper. This paper also presents that speed-biased overcurrent relay can fully protect the high-inertia motor during abnormal starting condition by computer simulation.
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The relaying algorithm to calculate the fault distance from only transient signal at faults in T/L is presented. In this paper. At faults the oscillation frequency components exist in both voltage and current and these components minimize the input impedance shown in fault point. The equivalent source impedance shown in relaying point is needed to calculate the fault distance using these components. To source impedance, the reflection coefficient between forward wave and backward and the Prony's analysis is also employed to extract the oscillation frequency component from transient signals. The case study show that the new distance relaying algorithm satisfies the high operation speed and high accuracy even if the algorithm uses only transient signals.
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Based on the concept of Load Supplying Capability of a transmission network, we provides an information concerning network adequacy. In particular this paper describes an algorithm regarding load supplying margin of transmission networks. And a different growth rate is assigned to each load point so that various demand characteristics can be taken into consideration at respective locations. In addition to this, in this paper, both generation and transmission equipment will be considered in determining the system capability. A 10 bus model system is used to demonstrate the capability of the proposed algorithm.
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This paper presents the optimal short-term operation scheduling by using fuzzy linear programming method on cogeneration systems connected with auxiliary equipments. Simulation is performed in case of the bottomming cycle. Modeling of cogeneration systems and auxiliary equipments is done, the effectiveness of modeling is evaluated through the detailed simulation. After the optimal operation scheduling is established by using linear programming method, the last optimal operation scheduling is established by using fuzzy linear programming method. The results of simulation show the auxiliary equipments can be effeciently operated in case of the bottomming cycle by modeling proposed in this paper.
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Power system is becomming more and more complex and large. Exsiting procedual programming technique can't cope with software flexibility and maintance problems. So, Object-Oriented Programming is increasingly used to solve these problems. OOP in power system analysis field has been greatly developed. This paper applies OOP in power flow analysis, and presents new algorithm which uses only a Jacobian to solve mismatch equations, and introduces new method which is different from exsisting method to store elements.
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This paper deals with the optimal dynamic dispatch problem owing to spinning-reserve and power-rate limits. Two computational modules are used in the solution of the problems. The first is an efficient dispatch module for the consideration of reasonable spinning-reserve requirements. The latter os the Lagrange multipliers adjusting module, which is satisfying the Kuhn-Tucker conditions for power-rate constraints. The proposed algorithm obtains very fast solution speed and maintains good accuracy from test examples.
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In the conventional power flow calculations, the slack bus is assumed to undertake the total transmission loss for the convenience of numerical computation. This is an unrealistic assumption because, in real power system, the transmission loss is supplied by all the generators and makes the power flow calculation results somewhat distorted. This paper proposes a new loss redistribution algorithm that can reduce the distortion of power flow results. In the proposed method, the system power loss redistribution algorithm is added to the conventional power flow equations and jacobian elements that are related the real power are newly constructed. In each iteration step, the power output of each generator is updated to consider the effect of calculated total power losses. Finally the usefulness of proposed method are tested through the some appropriate case studies.
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This paper presents mathematical formulation of economic dispatch problem for power system considering cogeneration systems. For exact mathematical formulation, conceptual division technique is introduced. Simulation is conducted to power system including two cogeneration systems.
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In recent years, electric industries in many countries confront with a structural change in business and socio-economic environments. Since 1984, PUC and utilities in U.S.A. have adopted or developing competitive bidding systems, and this new procurement programs prevailing and restructuring the power markets. In Korea, government and the Korea Electric Power Corporation (KEPCO) invited the private sector to build and operate two 500 MW coal plants and two 400 MW LNG plants during 2001 - 2004. The plan also specifies basic concepts and conditions for the IPP projects such that new IPPs are selected through competitive bidding system with the purchased power price based on the avoided cost. In this study, the direction, guideline and scoring methods to Korean IPP bidding system are presented. Also, as a benchmark price and rates for purchased power, the avoided cost calculation models are developed, this study may contribute for the development of private power in Korea, and improve overall economic efficiencies of whole electric power sector.
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When precontract pricing is applied, consumers must reserve expecting the amount of electricity to use. But Consumers expecting demand has stochastic property, expecting demand may be different from real demand. To prepare for this problem, spinning reserve is needed. Now I suggest new pricing system that someone has large variance and large elacity pays high price by the accumulated penalty factor. And I suggest the accumulated penalty factor for maximizing social welfare.
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The purpose of this paper is to determine the proper reliability criteria used in generation expansion planning of electric utilities. In this paper, we tried to combine long-term generation expansion planning and short-term weekly maintenance scheduling program package. We set two scenarios in which the O&M technology of power plants will be improved or not in the future. We performed LOLP sensitivity analysis for each scenario to determine the optimum reliability criteria in the power system operation aspects.
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Recently, electric utility is facing substantially new stream of business environment, such as pressure of business restructuring, competition with private IPPs, diversification of supply-side and demand-side resource options, environmental externalities and uncertainties. Integrated resource planning(IRP) is very useful and powerful approach for solving complex and diversified electricity supply and demand problems. This paper presents a standardized IRP procedure using multi-attribute decision analysis approach. The selection of the most desirable plan is based on multi-attribute trade-off/risk analysis method and score ranking method. As a case study, 50 plans with 12 scenarios are analyzed.
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Real time informations from industrial power system in operation can be used for efficient energy conservation, optimal operation of electrical equipments, and expansion planning of apparatus. Requirements for energy conservation and supplied power quality in customers are increasing significantly because of their effects on the production cost and efficiency. Thus, the development of low cost power management system which can can operate in domestic power system properly is substantially requested. In this research, operation software for real time monitoring and control system in customer power system has been developed to achieve the above purposes. The development of the operating software and related technologies are expected to be applied successfully for reducing electricity cost, enhancing power quality, determining facility expansion planning, operating optimal power system, increasing production efficiency, and reducing maintenance cost.
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This paper presents the optimal short-term operation scheduling by using on cogeneration systems connected with auxiliary equipments. Simulation is performed in case of the bottomming cycle which generates the demand heat preferentially. Heat storage tank, electricity charger, auxiliary boiler and independent generator are considered as auxiliary equipments connected to cogeneration systems. The results of simulation show the auxiliary equipments can be effeciently operated in case of the bottomming cycle by modeling proposed in this paper. The effectiveness of operation scheduling gained by application of fuzzy theory is evaluated by detailed comparison and investigation of the simulation results.
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This paper presents a new simplified method for finding the multiple load flow solutions and through their solutions the voltage stability can be evaluated. Line flow(
$P_{ij}$ ,$Q_{ij}$ ) may be formulated with the second-order equations for$V_{i}^{2}$ in polar coordinates or two circle equations for$e_{i}$ and$f_{i}$ in rectangular coordinates. Based on this feature, multiple load flow solutions are calculated with simple works, results of multiple load flow solutions are used for sensitivity analysis of voltage stability. Also, in the case that reactive power sources is considered, method of evaluating the voltage stability is introduced. The proposed method was validated to 2-bus and IEEE 6-bus system. -
The cogeneration system has a strong merit in providing thermal and electrical energy simultaneously. Nowadays, cogeneration system is widely used in the point of efficient use of the energy resources And the installation of the system is expected to be greatly increased in each year. So, we need to develop an optimal operation planning for those systems. In this paper, we are used to result what studed at the my power system of room because it is in order to solve maintenance scheduling problem. Also we added a constraints to the proposed maintenance model for optimal maintenance rate. In the case study, we construct an multi-machine generated example system which operated in topping cycle, and calculate the yearly optimal production cost, marginal maintenance cost, and maintenance scheduling of the example system respectively.
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This paper proposes a new algorithm for maintenance scheduling with considering load forecast uncertainty. The proposed algorithm is based on the equivalent load of effective load carrying capability(ELCC) of generators. The uncertainty of forecasted load is considered as a normal distribution probability density function. For maintenance scheduling, reserve levelization method and risk levelization method are used in this study. To test the algorithm, we applied the proposed method to IEEE reliability test system(IEEE RTS). As a result, we verified the validity of the proposed method.
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Though he is a experienced expert, it takes much time and considerable effort to review this items in detail since the widespread terms to plan distribution system is considered. Therefore it needs software system for planning of distribution system to solve much time and human resoureces due to manipulate many data and calculate sophiscated technology. The object this study raises its availability by assisting distribution works such as load forecast, substation planning in ChangWon city based on CADPAD software package.
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Nowdays, voltage stability is well recognized as an important problem. It is well known that voltage stability is influenced by the characteristics of load. Up to present,voltage stability researches were done by the static load modeling, but it is needed that the precise analysis by the view point of dynamic load modeling. In this paper, with induction motor as dynamic load, using modal performance measure, optimal value of tcsc is determined.
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This paper presents a method for optimal dispatch which minimizes transmission losses and improves voltage profile of power systems using genetic algorithm based on the mechanism of natural genetics and natural selection. The constraints are VAR sources(transformer tap, generator voltage magnitude and shunt capacitor/reactor), load bus voltages and generator reactive power. Real variable-based genetic algorithms which can save coding times and maintain the accuracy are applied for optimal dispatch of reactive power. The genes of genetic algorithm consisted of integers for considering discrete VAR sources. A efficient operator for crossover is proposed to consider the effect of close genes. The algorithm proposed can apply to problems for large scale power systems with multi-variables and complex nonlinear functions efficiently. The proposed method is applied to IEEE 30 buses model system to show its effectiveness.
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The proposed method is described for scheduling their output of thermal power units so as to comply with total emission constraint, area emission constraint and the both of those constraints. Also, by using a trade-off curve, representing all dispatch alternatives and conflict between the emission and the fuel cost, the sensitivity analysis of the emission and the fuel cost is applied to this algorithm. By the way, this proposed method is analyzed how dispatch changes as a function of the total environmental cost, and as a function of the relative weighting of individual environmental insults, e.g, NOx and
$SO_{2}$ . By applying the proposed method to the system, the usefulness of this method is verified. -
In this paper, a method for the daily maximum load forecasting which uses a chaotic time series in power system and artificial neural network. We find the characteristics of chaos in power load curve and then determine a optimal embedding dimension and delay time, For the load forecast of one day ahead daily maximum power, we use the time series load data obtained in previous year. By using of embedding dimension and delay time, we construct a strange attractor in pseudo phase plane and the artificial neural network model trained with the attractor font mentioned above. The one day ahead forecast errors are about 1.4% of absolute percentage average error.
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This paper presents a theory on the pricing and allocation of spinning reserve. It is shown in this paper, that it is possible to maintain system security with many participants each attempting to optimize their own benefit, through pricing incentive. Participant offers power consumption/generation and reserve contribution according to its price. And Price setter only distribute pricing signal to acquire system security. Participants induce disturbance on power system and they pay the penalty according to the size of disturbance. And they also offers some reserve capacity to earn reserve cost. In this scheme, the amount of data communication is very small.
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Recent development in the digital relay technology has introduced the adaptive relaying system which adopts the relays to the current operating states. This paper proposes the hierarchical digital protection system whose design has been based on 154 kV S/S. Applying the newest communication networking, the system provides the new protection capabilities improving the system reliability and speed.
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This paper presents a new algorithm for the countermeasure to alleviate the line overloads in a power system. This method utilizes network sensitivity factors which are establised from DC load flow solutions. The line outage distribution factors(LODF) are formulated using changes in network power generations to simulate the outaged line from the network. The proposed algorithm has been validated in tests on a 6-bus test system.
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Artificial neural network based pattern recognition method is one of the most probable candidate for on-line power system transient stability analysis. Especially, Kohonen layer is an adequate neural network for the purpose. Each node of Kehonen layer competes on the basis of which of them has its clustering center closest to an input vector. This paper discusses Kohonen's LVQ(Learning Victor Quantization) and points out a defection of the algorithm when applied to the transient stability analysis. Only the clustering centers located near the decision boundary of the stability region is needed for the stability criterion and the centers far from the decision boundary are redundant. This paper presents a new algorithm ratted boundary searching algorithm II which assigns only the points that are near the boundary in an input space to nodes or Kohonen layer as their clustering centers. This algorithm is demonstrated with satisfaction using 4-generator 6-bus sample power system.
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This paper represents an accurate evaluation method in the eigenvalue analysis of the synchronous machine which has the characteristics of seperated saturation and cross-magnetized one. The cross-magnetizing effect is included in the reactance and state matrix of the machine. And the machine with excitation system is simulated in the cases of those two saturations. The simulation results show the existence of the differences between the seperated saturation and the cross-magnetized one in the analysis of power system.
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In this paper a comprehensive d.c. link model is developed with generality to represent all the plant components and operating conditions. The voltage ambiguity which is shown in other papers is removed. The New Zealand a.c.-d.c. scheme is used as a test system, and the results show that a fast-decoupled load-flow solution of a.c. systems interconnected by d.c. link converges for all practical operating conditions.
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The paper presents neural network control techniques for load frequency control of two area power system. Using learning algorithm of error back propagation after learning accept input on the optimal control
$e_{i}$ ,$\dot{e}_{i}$ , and$u_{i}$ frequency characteristic and tie-line load flow characteristic investigated dynamic. From result simulation, frequency deviation and tie-line load flow deviation have reduction remarkable. -
This paper introduces aspects of electrical power system with regard to the application of generator circuit breaker(GCB) in nuclear power generating stations. Technical analyses are performed for the two(2) alternatives, one(1) stand-by auxiliary transformer(SAT) vs two(2) SAT's, on system configuration in case that one(1) GCB is used. The results show that one(1) SAT system may not be justified when larger auxiliary loads are required to increase plant availibility. This paper also presents the feasibility on reliability, operability and maintainability for adopting GCB.
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This paper presents discriminate between magnetizing inrush and internal faults of power transformer by artificial neural networks trained with preprocessing of fault discriminant. The proposed neural networks contain multi-layer perceptron using back-propagation learning algorithm with logistic sigmoid activation function. For this training and test, we used the relaying signals obtained from the EMTP simulation of model power system. It is shown that the proposed transformer protection system by neural networks never misoperated.
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This paper presents the economic evaluation of battery energy storage system(BESS). Application target of the BESS was decided to both the distribution substation and single customer. 1MW/4MWh BESS under research and development in KERI was used for example. We analyzed and compared BESS with conventional combind cycle. The result shows that BESS is more economic than conventional combind cycle.
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KEPCO is now going on upgrading the highest system voltage from 345kV to 765kV since 1992. The main reason of this 765kV project is the bulk power transmission from the power generation sites at the East and West coasts to the Kyeong-in area. The first 765kV transmission lines will be constructed by 1998 and operated as 345kV level until 2001. This system needs a detailed evaluation of the 2nd arc in case of 765kV transmission line outages and the countermeasures for the fast arc reduction for the successful high speed reclosing. So, this paper deals with the simulation results of the 2nd arc characteristics using EMTP and comparison of Sh.R and HSGS for the reduction methods.
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This paper describes developement of on-line system for vibration signal analysis. In the power system, the main reason of transformer fault is due to a large amount of current by a short-circuit and a ground-fault. The electromagnetic force caused by fault-current deforms transformer windings and results in vibration pattern change. Therefore if the continuous on-line vibration monitoring on transformer is performed, an incipient failure can be detected. The developed system is composed of data acquisition devices, user interface program, signal processing program, diagnosis and trend analysis program, self diagnosis program and communication program.
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This paper presents an analysis of the voltage stability when the contingency is occured in the power system. The evaluation of voltage stability is examined by the system identification based on T/L losses and percent indicator which represents how relatively far-off from the voltage collapse. When contingency happens, the bus voltages can be calculated using the EMTP and then, the time-interval in contingency is linearized between the known operating points in nose curves. For the sample study, the 5-bus and 7-bus systems are selected and, countermeasures for the contingency are established in view of the voltage stability.
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This paper describes analysis and optimization of Weil-Dobke synthetic testing circuit parameters, which is efficient and economical test method in high capacity AC circuit breaker. In this paper, analysis of synthetic short-circuit test circuit parameter proposed nondimensional factor that is reciprocal comparison value of circuit parameter and is not related to rated of circuit breaker, in particular, this study induce minimization of required energy of critical TRV generation specified in IEC 56 standards and present optimal design of synthetic short circuit testing facilities.
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CT saturation may cause protective relays to malfunction. The conventional method to deal with the problem is overdimensioning of the core so that CTs can carry up to 20 times the rated current without exceeding 10 % ratio correction. However, this not only reduces the sensitivity of relays, but also increases the CT core size. This paper presents a technique of estimating the secondary current corresponding to the CT ratio under CT saturation using the magnetization curve. The proposed algorithm can improve the sensitivity of relays to low level faults and minimize the instability of relays for external faults.
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In this paper, the results of development of arrester leakage current detector using micro computer are described. This detector is based on harmonic analysis of the leakage current by FFT. For low sensitivity to disturbance, this device used optical fiber. This will be a great benefit of detecting deterioration ZnO arrester.
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This paper presents a new distance relay modeling techniques which avoids unnecessary computational procedure. A general-purpose simulation language, called MODELS, has been added to the software ATP(Alternative Transients Program) providing a new option to perform numerical and logical manipulations of variables of an electrical system. This language has been designed to replace the previous option TACS (Transient Analysis of Control Systems) which permits to simulate a control system in conjunction with a large power network. One purpose of this study is to build a structure for modeling of digital distance relays within EMTP MODELS. Contrary to the traditional methods, the new method using MODELS reduce the number of simulation steps in modeling the distance relay.
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Since power systems tend to be more large and complex, expert system substituted for the decision-making achieved by the power system operation expert is required. So far, expert system has been used for fault diagonosis and voltage-reactive power control and so on. In the expert system developed using 'C' language, the faulted element is estimated using the AND operation of lists which are acquired from the information on operated relays. It is also considered to identify the misoperation of protective devices using CF(Certainty Factor), and operation failure of those using the data base of parameter group list. The developed expert system is applied to a 6-bus sample system and through the case studies. It is shown that the expert system is very useful.
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This paper describes the present state and development prospect on the protective relaying under high resistance earth faults in transmission systems. Especially it is difficult to detect the fault accompanied with high resistance contary to low resistance. In the complicated power system if the detection is failed, power failure will be occured in large area. New technology with respect to such a problem must be developed. This paper introduces research and development trend in home and abroad.
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We propose speed controller of AC servo motors using adaptive two-degrees-of freedom controller design. The overall control system consists of three elements: a forward speed controller, parameter identifier and disturbance observer. This servosystem can improve the characteristics of the closed loop systems with the disturbance observer by eliminating the disturbance torque without changing the command input response. Moreover, the system can be adaptable to the parameter variation by employing adaptive scheme. We will show the control performances through the simulation results.
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This paper presents the methode of optimal control theory and observer for time invariant system via Single Ten Walsh Series. The algorithm of the optimal control theory is simulated by MATLAB.
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This paper proposes a design of self-tuning fuzzy controller based on evolutionary computation. Optimal membership functions are round by using evolutionary computation. Genetic algorithms and evolution strategy are used for tuning of fuzzy membership function. A arbitrarily speed trajectories is selected to show the performance of the proposed methods. Simulation results show the good performance in the DC motor control system with the self-tuning fuzzy controller based on evolutionary computation.
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Variable Structure Controller is well known to be a robust controller. Recently, Evolution Strategy is used as a effective search algorithm. In this paper, we propose a Variable Structure Controller combined with Evolution Strategy. Evolution Strategy is used to estimate the unknown parameters, the control gain and the thickness of saturation function boundary layer of Variable Structure Controller. From the experiment, we found the proposed Variable Structure Controller shows accurate tracking ability and robust performance in the BLOC motor position control system.
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This paper presents a performance analysis of the multiple sliding mode control for SISO system. The multiple sliding mode control technique uses sliding surfaces for each state. The performance analysis is done by comparison between the multiple sliding mode control and the sliding mode control. Overall performance of the multiple sliding mode control is improved over that of the sliding mode control. Results of numerical simulations are presented.
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Chromosome analysis is an important and difficult task for clinical diagnosis for mutagen dosimetry, and for biological research. It is expensive, time consuming and imprecise when performed manually. Efforts to automate some or all of the procedures have continued for more than 30 years, with only limited success. An acquiring sample from chromosome group is not solved with automatic method. It is still performed by user. This paper represents the method of an automatic chromosome sample extraction which based on region splitting, and scan converted method.
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Chua's circuit is a simple electronic network which exhibits a variety of bifurcation and attractors. The circuit consists of two capacitors, an inductor, a linear resistor and a nonlinear resistor. This paper describes the implementation for a practical op amp of Chua's circuit. In experiment results, 1 periodic motion, 2 periodic motion, rossler type attractors, stranger chaotic attractor periodic window and limit cycle are shown, which are coincide with computer simulation.
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This paper presents a method to design Kalman filter on continuous stochastic dynamical systems via BPFT(block pulse functions transformation). When we design Kalman filter, minimum error valiance matrix is appeared as a form of nonlinear matrix differential equations. Such equations are very difficult to obtain the solutions. Therefore, in this paper, we simply obtain the solutions of nonlinear matrix differential equations from recursive algebraic equations using BPFT. We believe that the presented method is very attractive and proper for the evaluation of Kalman gain on continuous stochastic dynamical systems.
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This paper deals with the robust two-degree-of-freedom multivariable control system using $H_{2}/H{\infty}$optimization method which can achieve the robust stability and the robust performance, simultaneously. The feedback controller can obtain the robust stability property. The feedforward controller can obtain the robust performance property under modelling error. The robust two-degree-of-freedom multivariable control system is applied to the nonlinear multivariable boiler-turbine system. The validity of the proposed method is verified though being compared with LQG/LTR design method.
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A nonlinear process-model based control for main steam temperature control of a 100MW oil-fired drum-type fossil power plant is delveloped and its performances are compared to those of the conventional PID control. The process model for simulation is derived based "first priciple approach" and is validated in steady and transient conditions. The model is in good agreements with the field test data. Performances of the nonlinear PMBC for main steam temperature control are far superior to those of PID in all aspects for the disturbances of ramp increase in load and step change in fuel Btu value.
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The Paper describes a dc/nc power comparator for measurement of power. Based on a thermal principle, the instrument performs ac-dc transfer and absolute power and energy measurements in the range of currents from 0 to 5 A, voltages from 60 to 240 V, power factors from 0 to 1 and frequencies from 50 to 1000 Hz. The ac-dc transfer accuracy is better than 20 ppm at unity power factor and better than 50 ppm at 0.5 power factor.
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In this paper, a friction compensation scheme using a fuzzy logic is presented. For the precision positioning and tracking control, the proper friction compensation is essential. Friction compensation schemes based on velocity and controlling input or desired velocity, have limitations because the compensation values are fixed. In this paper, a fuzzy friction compensation scheme adjusts the compensation value depending on the velocity and the position error. The proposed fuzzy friction compensator is implemented in a linear positioning system. The performance is illustrated by simulations and experiments.
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The most effective way to improve the performance of a fuzzy controller may be to optimize look-up values. Look-up values are derived from processes used input-output scale factors, membership functions, rule base, fuzzy inference method and defuzzification. It is powerful way to modify or organize look-up table values. In this paper, We propose the look-up values self-organizing fuzzy controller(LSOFC). We use the plus-minus tuning method(PMTM), scanning values through the processes of addition and subtraction. We show the efficiency of this LSOFC by the results of simulation for nonlinear time-varying plant with unmodelled dynamics.
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In this paper we proposed new scheme replacing adaptive mechanism part in MRAC by fuzzy logic in order to improve transient response in adaptive control system. Conventional adaptive control system has good performance in steady state but it has large error or problem with rise time in transient state. We need to increase adaptation gain of control variable but it causes robustness problem that makes ststem unstable for set-point, load-variation, and dynamic change. To demonstrate presented FTAC(fuzzy tunning adaptive control)'s superiority, presented method is introduced for a class of SISO systems and compare with MRAC. By analyzing simulation result, we can see transient response is improved and the system is not affected by disturbance in proposed method in comparison to MRAC.
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In this paper, a fault detection and isolation unit(FDIU) for a centrifugal pump system driven by DC-motor is proposed. The proposed scheme can be classified into the dedicated observer scheme(DOS). A fuzzy logic based inference engine is adopted for the isolation of each faults. Having the fuzzy inference engine, the proposed FDIU resolve a few important problems of the conventional DOSs with conventional two valued logic. The ouputs of the proposed FDIU are not "ith fault occurred" but the grade of memberships that indicate the consistency of observered symptoms(residuals) with each fault symptoms stored in the rule base. The ouputs can easily be transferred to the ranking of the fault possibilities and it will provide very useful informations in monitoring the process. The simulation results show that the FDIU has very good diagnostic ability even in the noisy environment.
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Multi-channel adaptive algorithms have poor convergence behaviors because of difficulties in selection of convergence coefficients. In this paper, a MCFLMS(Multi-Channel Fuzzy LMS) algorithm, where the convergence coefficients are updated by a fuzzy inference engine, was proposed. A proposed algorithm showed better convergence characteristics than conventional MCLMS(Multi-Channel LMS) algorithms in computer simulations.
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The shape and width of fuzzy membership function has an effect on performance of fuzzy controller. In this paper, fuzzy controller is proposed to improve the control performance of fuzzy controller. It has two fuzzy inference engine. The one is typical fuzzy inference engine, the other is proposed to infer optimal width of membership function in fuzzy controller from plant constant (K,T,L). To show the effectiveness of this fuzzy controller with double fuzzy inference engine, it is applied to plant (dead time + 1st order delay) with various plant constant.
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An input estimation technique is derived in multi-sensor environment. The proposed approach distribute the computational burden of input estimation to each local sensor and fusion center without loss of its optimality. The performances of proposed method in 2-sensor system are compared with those in single sensor system. Simulation results show that a reliable maneuvering target tracking system can be constructed in multi-sensor environment via proposed approach.
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In this paper, using a new adaptive fuzzy controller we have designed a power system stabilizer. The adaptive fuzzy controller constitutes of several parallel fuzzy controller. Each of them can maintain the robust stability for a specified parametric uncertainty region. If the parametric variation is so large that a rule-base cannot cope with that parametric region, the other appropriate rule-base is selected to control. Applying adaptive fuzzy controller to single machine infinite bus system, we simulate the stability of the system and compare the performance with conventional PSS controller.
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The objective of this study is to design a multi-layer neural network which controls the position of excavator's attachment. In this paper, a dynamic controller has been developed based on an error back-propagation(BP) neural network. Since the neural network can model an arbitrary nonlinear mapping, it was used as a commanded feedforward input generator. A PD feedback controller is used in parallel with the feedforward neural network to train the system. The neural network was trained by the current state of the excavator as well as the PD feedback error. By using the BP network as a feedforward controller, no a priori knowledge on system dynamics is need. Computer simulation results demonstrate such powerful characteristics of the proposed controller as adaptation to changing environment, robustness to disturbancen and performance improvement with the on-line learning in the position control of excavator attachment.
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Hopfield networks have been applied to the problem of linear system identification. In this paper, Hopfield network based parameter identification scheme of non-linear dynamic systems is proposed. Simulation results demonstrate that Hopfield network can be used effectively for the identification of non-linear systems assuming that the system states and their time derivatives are available. Therefore, the proposed scheme can be applied in fault detection and isolation(FDI) and adaptive control of non-linear systems where the Hopfield networks perform on-line identification of system parameters.
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This Paper presents a novel and systematic approach to a self-learning controller. The proposed controller is built on a neural network consisting of a standard back propagation (BNN) and approxinate reasoning (AR). The fuzzy inference and knowledge representation are carried out by the neural network structure and computing, instead of logic inference. An architecture similar to that used by traditional model reference adaptive control system (MRAC) is employed.
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In this paper, we analyze the effects of scaling factors on the performance of a fuzzy controller and propose the tuning method for them. The quantitative relation between input and output variables of a fuzzy controller is obtained by using a quasi-linear fuzzy model. An approximate transfer function of a fuzzy controller is derived from the comparison a fuzzy controller with the conventional PID controller. We analyze the effects of scaling factor using this approximate transfer function and propose a fuzzy tuning method based on that of Maeda et al[4].
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The most important problems which should be considered in designing servo controllers are resonance effects and nonlinear friction. These problems exist in almost all the servo systems, especially for the robotic maniplators and numerical control systems and cause difficulties in designing controllers. In this paper, controller design procedure which employs
$H_{\infty}$ control theory is proposed for the servo systems with these problems. Sometimes, for these systems, there is a possibility of limit cycles due to the interation between the nonlinear friction and integrator. To check the possibility of limit cycles, describing fuction method is used. -
A servo control algorithm robust under disturbance and reference change is developed using the self tuning control method based on the concept of the least distribution control. Also, the design algorithm incorporates the concepts of the well known internal model principle and the annihilator polynomial. In order to evaluate the effectiveness of the method, MAGLEV (Magnetic Levitation) system is used and the position control experiment for reference changes and disturbances of step type is done.
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This paper presents a Generalized Iteration (GI) which includes power method, inverse power method, shifted inverse power method, and Rayleigh quotient iteration (RQI), and modified RQI (MRQI). Furthermore, we propose a GI-based algorithm to find arbitrary eigenpairs for Hermitian matrices. The proposed algorithm appears to be much faster and more accurate than the valuable generalized MRQI of Hu (GMRQI-Hu). The idea of GI is also employed to speed up the GMRQI-Hu and we propose a modified version of Hu's GMRQI (GMRQI-Hu-mod) which is improved in the convergence rate. Some numerical simulation results are presented to confirm our contributions
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In this paper, a computational scheme for the model reduction problem using balanced realization is introduced, The scheme is illustrated by an example. The algorithm is based on the characterization of the solution to the model reduction problem.
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Linear pulse motor(LPM) has been used in a wide range of application due to many advantages for the precision position and speed control system for the bidirectional linear motion. In this study, the hybrid, single-side type LPM was designed and examined for characteristics of position detection. Precision position detection signals could be sensed by synchrnous rectifier method from the LPM stator scale. Experimental results show that the position precisions are good enough to perform the LPM position control.
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This disseration realized the simple digital controller board using
${\mu}$ -PD 70320 microprocessor has characteristics that are low cost, simple hardware organization, convenient and interchangeable with the 8086 for the servo system. We gave the control algorithm such as PD control. Self tuning adaptive control and Fuzzy control to the realized controller board and made a new real number data type for a high accuracy control. Users can select of suitable for the control algorithim. In the result of simulation and experiment shown a good performance. -
In position control system using variable structure control, the velocity of control object is controlled to approach the desired specified velocity patterns, and eventually the position of control object is correctly at reference position. Here, this intention can be success by means of variable structure control. In this paper, the PI velocity feedback control is also used sliding mode controller. The design of position controller under specified velocity profiles in variable structure control's constraints is studied.
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A new digital method of anti-aliasing is presented and is applied to the development of an electric vehicle controller. A layered processing structure and some finite-bit approximation technique, devised in this paper, are the key attributions to the design and implementation of the anti-aliasing filter. The performance of the implemented preprocessing system is tested with several experimental results.
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An early detection of cancer is very important for the complete cure of cancer. Therefore, it is considered a diagnosis of cancer via the detection of an abrupt change from the healthy state to the cancerous state. It includes the development of algorithm for the detection of parameter change for conditionally-linear stochastic systems for the cancer diagnosis. The statistical testing is proposed to implement a parameter change algorithm. The detection algorithm studied in this research is based on sequential hypotheses testing in a so-called local asymptotic framework. Here a simple numerical example is provided to highlight some of the concepts and to provide a basis for further investigation. Despite its simplicity this research may have practical application in clinical oncology.
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Practical controllers of industrial systems are usually designed and realized in continuous time domain. However, due to the programmable and flexible nature of digital computers and the speed and stability superioity of digital components over analog ones, it seems more effective to adapt digital controllers. When an existing analog controller performs satisfactory, it is often advantageous to use the digital redesign techinque to obtain an equlivalent digital controller which substitutes the analog one. One method of the digital redesign is to use a periodic gain. This method gives a riffle effect on the steady state response, although it's transient response is satisfactory. This paper suggests a method which eliminates or deminishes periodic ripples generated by the periodic function.
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This system can detect a ground fault point or a bad insulated line by measuring a power plant DC feeder insulation resistance at the uninterruptible power status. And when the power plant DC feeder with low frequency AC signal has a ground fault, this measuring system can keep recording of its ground fault current and phase checked by Z.C.T. Therefore the power plant could protect a unexpected service interruption.
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The purpose of noise cancellation is to estimating signals corrupted by additive noise or interference. In this paper, an adaptive noise canceller is built from a Walsh filter with a new adaptive algorithm. The Walsh filter consists of a Walsh function. Since the Walsh functions are either even or odd functions, the covariance matrix in the tap gain adjustment algorithm can be reduced to a simple form. In this paper, minimization of the mean squre error is accomplished by a proposed adaptive algorithm. The conventional adaptation techniques use a fixed time constant convergence factor by trial and error methods. In this paper, a convergence factor is obtained that is tailored for each adaptive filter coefficient and is updated at each block iteration.
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원자력발전소의 제어봉구동장치는 원자로의 압력경계 안에 설치되고 밀봉되므로 센서의 설치가 곤란하여 기존의 제어기는 개루프 형태의 제어기를 사용하고 있다. 본 논문에서는 기존 타이밍모듈의 문제점을 해결하기 위하여 제어봉구동장치 내부에 센서를 설치하지 않고도 제어봉구동장치의 작동 상황을 감시할 수 있는 방법을 개발하였다. 이 방법을 이용하여 제어봉 낙하방지, 정밀한 위치제어, 코일 수명연장의 특성이 있는 제어봉구동장치 타이밍 제어기를 폐루프 제어계통으로 설계하였다. 폐루프 제어개념에 의하여 개발된 알고리즘은 기존의 문제를 대부분 해결하였으며 계통의 성능 및 신뢰도가 향상되었다. 알고리즘 개발 및 시험 시, 여기서 설계한 실시간 제어봉구동장치 시뮬레이터를 사용하였고 현장에서 취득한 실제의 데이터와 함께 이 시뮬레이터를 이용하여 개발한 모든 알고리즘의 검증시험을 하였다. 검증결과 이 타이밍 제어기는 본래의 기능을 잘 수행하는 것으로 나타났다.
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This paper presents the applied example of "A" city about optimum of chemicals imjection rate. The water treatment plant of "A" city make raw water into drinking water according to the injection of PAC, Alkali and chlorine. Computer performs multiple regression analysis about preoperation data, DCS has been done chemicals optimun control.
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This paper presents fuzzy control rules of automatically driving a car. Fuzzy control rules proposed are designed by investigating human experts' experiences and composed of three groups whose functions are different. According to computer simulations which let a model car pass through a curve of S type, we showed validity of fuzzy control rules suggested.
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Sliding Mode Controller is largely used to control holy nonlinear system such as robot manipulator. This paper simulate the SCARA robot with sliding mode control algorithm and its applied form with saturation term to reduce chattering. In addition, hardware system using DSP board which operates with high speed is constructed.
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Accounting for actuator nonlinearities in control loops has often been perceived as an implementation issue and usually excluded in the design of controllers. Nonlinearities treated in this paper are saturation, and they are modelled as an inequality constraint. The CRHPC(Constrained Receding Horizon Predictive Control) with inequality constraints algorithm is used to handle actuator rate and amplitude limits simultaneously or respectively. Optimum values of future control signals are obtained by quadratic programming. Simulated examples show that predictive control law with inequality constraints offers good performance as compared with input clipping.
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This paper presents a algorithm of hierarchical approach to tracking problems for high order systems via BPF. In controlling the n-th oder systems for tracking problem, TPBVP has the 2n-th order. Generally, it is very difficult to otain the solutions due to its high order. In order to solve this fact, hierarchical approach is applied. And using the BPF Transformation, we simply obtained the solutions of decomposed low order TPBVP from the recursive algebraic equations.
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Variable Structure Control(VSC) scheme with sliding mode is widely used to keep a control system insensitive to parameter variations and disturbances. However, the conventional sliding mode control has the undesired phenomenon of chattering which may become a serious problem. Also the restriction of the sliding mode regime cannot guarantee the insensitivity throughout an entire response. In this paper, the sliding surfaces, which are composed of three-line segments, are used to remove the reaching phase. Also, the concept of fuzzy logic is incorporated with the sliding mode control in order to control the unknown or partially known systems effectively. The proposed method is applied to a Double-Sided MM Type LDM to show its usefulness.
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This paper proposes a method to recognize object with 2-dimension image. In most cases, it takes too many processes, complicate algorithm and time to recognize object with expert system because of inherent comfiguration of the object. This paper includes some processing steps such as pre-processing method, recognition method with neural network and learing algorithm of multi-layer perceptron using error backpropagation.
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This paper introduces a new approach to adaptive control using a combination of direct, indirect and variable structrure method. A new variable structrue input is derived to counteract the effects of disturbances. Direct input is used to have fast response and indirect input improves the transient behavior of the system. Computer simulation results illustrate the very satisfactory performance of the proposed algorithm.
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In this paper, we present a simple auto-tuning PID controller using genetic algorithms. The basic idea of the scheme is to parameterize a Ziegler-Nichols-like tuning formula by a single parameter
${\alpha}$ , then to use GA to select optimal tuning parameter. Also, simple rule mechanisms make the controller adapt against large variations in parametric and dynamics uncertainties in the plant. These scheme lead to improved performance of the transient and steady state behavior of the closed loop system, including processes with long delay-time and nonminimum phase systems. -
The neural network predictive controller(NNPC) is proposed for the attempt to mimic the function of brain that forecasts the future. It consists of two loops, one is for the prediction of output(Neural Network Predictor) and the other one is for control the plant(Neural Network Controller). The output of NNC makes the control input of plant, which is followed by the variation of both plant error and prediction error. The NNP forecasts the future output based upon the current control input and the estimated control output. The method is applied to the control of temperature in boiler systems. The proposed NNPC is compared with the other conventional control methods such as PID controller, neural network controller with specialized learning architecture, and one-step-ahead controller. The computer simulation and experimental results show that the proposed method has better performances than the other methods.
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This paper presents the linearized fuzzy modeling technique of nonlinear dynamical system and the stability analysis of fuzzy control system. Firstly, the nonlinear system is partitionized by multiple linear fuzzy subcontrol systems based on fuzzy linguistic variables and fuzzy rules. Secondly, the disturbance adaptation controllers which guarrantee the global asymptotic stability of each fuzzy subsystem by an optimal feedback control law are designed and the stability analysis procedures of the total fuzzy control system using Lyapunov functions and eigenvalues are discussed in detail through a given illustrative example.
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This paper discusses Self-organized Distributed Networks(SODN) as identifier of nonlinear dynamical systems. The structure of system identification employs series-parallel model. The identification procedure is based on a discrete-time formulation. The learning with the proposed SODN is fast and precise. Such properties arc caused from the local learning mechanism. Each local networks learns only data in a subregion. Large number of memory requirements and low generalization capability for the untrained region, which are drawbacks of conventional local network learning, are overcomed in the SODN. Through extensive simulation, SODN is shown to be effective for identification of nonlinear dynamical systems.
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In this paper, a design of the sliding mode controller using neural networks is proposed. The overall control system consists of a neural network controller and a reaching mode control input. The neural network controller approximates the equivalent control on the sliding surface and reaching mode control input is used to bend the entire system trajectories toward the sliding surface. The proposed controller is applied to the position control of a DC servo motor.
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Effects of positions of transducers and of distances between transducers on attenuation properties of active noise control systems is investigated via computer simulations. Computer simulations show that the acoustic monopole and dipole systems for duct noise attenuation are sensitive to variations of the transducer location.
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The shape and width of fuzzy membership function has an effect on performance of fuzzy controller. In this paper, neuro-fuzzy controller is proposed to improve the control performance of fuzzy controller. It has membership function, that is adapt to plant constant by using trained neural network. This neural network has been trained with back propagation algorithm. To show the effectiveness of proposed neuro-fuzzy controller with adaptive membership function, it is applied to plant (dead time + 1st order) with various plant constant.
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Applied by periodic Stimulating Currents in Bonhoeffer-Van der Pol(BVP) model, chaotic and periodic phenomena occured at specific conditions. The conditions of the chaotic motion in BVP comprised 0.7182<
$A_{1}$ <0.792 and 1.09<$A_{1}$ <1.302 proved by the analysis of phase plane, bifurcation diagram, and lyapunov exponent. To control the chaotic motion, two methods were suggested by the first used the amplitude parameter$A_{1}$ ,$A_{1}={\varepsilon}((x-x_{s})-(y-y_{s}))$ and the second used the temperature parameter c, c=c$(1+ {\eta}cos{\Omega}t)$ which the values of$\eta$ ,${\Omega}$ varied respectlvly, and$x_{s}$ ,$y_{s}$ are the periodic signal. As a result of simulating these methods, the chaotic phenomena was controlled with the periodic motion of periodisity. The feasibilities of the chaotic and the periodic phenomena were analysed by phase plane and lyapunov exponent. -
This paper presents an efficient and robust robot path planning technique that can always find a path, if one exists, in a densely cluttered, unknown and unstructured obstacle environment. The terrain in which the robot is expected to navigate is represented as a tesselated grid of square cells. The generated path is resolution complete and also resolution optimal once the terrain is fully explored by the robot or all the information about the terrain is given. The technique enables the accurate wave propagation to the diagonally adjacent cells and facilitates the implementations of various essential features for a real-time path planner such as partial updates and parallel computations.
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In this paper, the problem of minimum-time trajectory planning of a robot manipulator with an arbitrary path is dealt. As for a straight path, the trajectory planning can be done without difficulty since the path is easily parameterized by its length. However, this is not the case for a non-straight path. In this paper, by noting that the others' joint angles and velocities are determined if one joint's angle and velocity are known, we reduce the problem of trajectory planning on a non-straight path to one in the 2-dimensional space of one joint's angle and velocity. Then, by applying the dynamic programming, we achieve the minimum-time trajectory planning. A simulation is done for verifying this.
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A position Control algorithm of the flexible manipulator is studied. The proposed algorithm is based on a Fuzzy Logic Control(FLC) method using the human's experiences. FLC does not need a dynamic modeling of a flexible manipulator. A Fuzzy logic controller is designed that the end-point of the flexible manipulator tracks the desired trajectory. The control input to the process is determined by the error and variation of error. Simulation result shows a robustness of FLC compared with the PID control algorithm.
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The Position Sensitive Detector(PSD) is an useful which can be used to measurement the position of an incidence light in detail and in real-time. In this paper, light sources, to be predefinded positions, are used as landmarks and the 2-D PSD signals are used to compensate the position of a running mobile robot. To induce the position compensation algorithm, first, we inspect the error factor, make the error model, and evaluate the error covariance matrix between the real position and estimated position in dead reckoning system. Next we obtain an optimal position compensation algorithm to update the estimated position using extended Kalman filler by the relation of the external light position and it's PSD signal. Through the simulation of navigating a robot the effectiveness of the proposed method is confirmed.
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This paper reports the current state of the intelligent mobile robot with flexible manipulators. Several technologies that have been developed and/or being developed are presented in this paper.
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It is very important to understand the 3-dimensional movement of a robot manipulator in developing a robot manipulator system. The robot design software package is required to test the specification. Usually these robot simulators are turn-key based and not possible to be used on the other robot system. The aim of this paper is to develop a general purpose robot simulator. AutoCad is selected for the developing environment to avoid the difficulties of building a cad system from the scratch. Because Autocad provides a semi-open structure to a Lisp programmer, it is quite successful to achieve the goal of building the simulator. At the moment the kinematic analysis is possible on the package. Further study will be advanced to the application and analysis of dynamic area, which would not be that difficult to be implemented, considering the many third party tools available for Autocad.
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There are a variety of trajectory and control algorithms available for robot trajectory tracking. Before using the enhanced trajectory and control algorithms to reduce the tracking error, we introduce the new method which reduces the tracking error by clipping the joint velocity. A lot of robot trajectory tracking methods are proposed to enhance the robot tracking, but irregular tracking errors are always accompanied. Up to now, these irregular tracking errors are gradually but uniformly reduced by introducing more complicated control algorithms. It is intuitively obvious to reduce only the big errors selectively in the irregular ones for the better performance. By heuristic method, big tracking errors in these irregular ones are assumed mostly due to the fast moving of joint with respect to the same tracking and control method. So, in this paper, we introduce a new method which reduce the big tracking errors by clippings the joint velocity with the constraint of given path. Using this method, desired trajectory tracking is obtained within the far reduced error bound. Also, this method is successfully applied to generate the path-constrained error reducing trajectories for 2-axis SCARA type robot.
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Recently, direct drive AC servo motor and DSP is widely used in the factory automation and related field due to the enhanced control and digital technology. In this paper, position control of direct drive AC servo motor and numerical interpolation algorithms are studied using DSP for the future applications. In the direct drived motor control, encoder pulse is divided into the quadruple pulse for the higher resolution and high speed pulse(10MHz) is used as reference for the slower speed motor control (M/T method). As for the general position control, PI controller is adapted for position control. In the trajectory tracking numerical algorithm, interpolation of straight line and curve algorithms are studied for the realization of path following capabilities of XY table. As for the DSP, ADSP 2105 is selected for the economy and performance points of view.
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Magnetic heads on vcr drum are adjusted for protrusion, rotational angle, setting angle between two symmetrically positioned heads and height difference. Developed adjustment system covered assembly spec., namely
${\pm}2{\mu}m$ and${\pm}30{\mu}m$ in rotational angle by using the image processing to determine head positions and S/W algorithm to compensate mechanical errors. -
This paper proposes a new identification method that utilizes fuzzy inference in parameter identification. The prosed system has an additional control loop where a real plant has replaced by a plant model. Fuzzy rules describe the relationship between comparison results of the features and magnitude of modification in the model parameter values. In this paper, the tuning method which determines parameters of PID controller automatically is described through applying this algorithm to DC servo motor. And we intend to investigate effectiveness of the method by experiments. This method is effective in auto-tuning because the response of the closed loop has verified. The simulated and the experimental results of the dc servo motor are shown to confirm the viability of this method.
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A neural network has very simple construction (input, output and connection weight) and then it can be robusted against some disturbance. In this paper, we proposed a neuro-controller using a Multi-Layered neural network which is combined with PD controller. The proposed neuro-controller is learned by backpropagation learning rule with momentum and neuro-controller adjusts connection weight in neural network to make approximate dynamic model of DC Servo motor. Computer Simulation results show that the proposed neuro-controller's performance is better than that of origianl PD controller.
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In this paper, an adaptive nonlinear observer using new Off-line algorithm is proposed to reduce the computing time. The estimated velocity data obtained from the control scheme is more accurate than that by the normal interpolation method when the velocity to be estimated is at the low speed or the fast speed. It is also shown that the adaptive controller based on AC100/C30 is useful for implementing the real-time controller.
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The studies about the swing control of the travelling pendulum have been developed in many ways. Most of them deal with the linearized pendulum model. This paper shows that the pendulum can be modelled without linearization by using MATRIXx, the dynamics simulation software. The fuzzy controller for reducing swing of the travelling pendulum is implemented with fuzzy tools supplied by MATRIXx.
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To make a mobile robot to get to a goal point, path which connects the mobile robot and the goal point is needed and a path planning is necessary. There are various kinds of a path planning. Well known methods are skeleton method, cell decomposition method and potential field method. But each method has both fortes and defects. In this paper, we propose a new method of path planning to find a path for mobile robot. It is obtained by modifying a Voronoi diagram. An original Voronoi diagram can make a safe path but its result is not satisfied. First defect of path, finded by the original Voronoi diagram, is sulplus of safty which make a path longer. Second defect is that the original Voronoi diagram method has a problem of connecting the Voronoi daigram with start/goal point of mobile robot. These defects are removed in proposed algorithm in this paper. We define a function to show the quality of paths. And by computer simulation, paths are compared and its result are shown.
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The purpose of this paper is to design and construct the compact type joint driver and controller of the biped robot. This biped robot will be designed to be suitable for the practical usages and applications in the work environment, which is not plat floor, like a stairs by taking the stand-alone style that equipped all the parts except power sources. Generally, highly nonlinear motion dynamics of the biped robot is realized to linear approximations by installing a high-ratio speed reducer at each joint and dividing motions into a several piecewise linear motions, which is realized by the digital controller design techniques. This biped robot has symmetrical structure to get the stable walking ability and also the hierachical structure to control each joint as well. That is, all of the joint controllers are connected to the main controller in the composition of overall controllers. The driver and controller of each joint uses PI controller that compensate the velocity and position errors by the data of the encoder. And the signal characteristics of each joint controller forms a trapezoid speed profile which is predefined by the values of direction, maximum velocity and position.
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Force and compliance control has been used in the control of legged walking vehicles to achieve superior terrain adaptability on rough terrains. The compliance control requires distribution of the vehicle load over the supporting legs. However, the constraint equations for ground reaction forces of supporting legs are generally underdetermined, allowing an infinite number of solutions. Thus, it is possible to apply an optimization criteria in solving the force setpoint problem. It has been observed that the previous force setpoint optimization methods sometimes cause a system stability problem and/or the load distribution among supporting legs is not well balanced due to a memory effect on the solution trajectory, This paper presents an iterative force setpoint method to solve this problem using an interpolation technique. By simulation it was shown that an excessive load unbalance among supporting legs and the memory effect in the force trajectory are alleviated much with the proposed method.
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In this study, we developed the efficient brushless DC motor for a compressor of air conditioner. The characteristics of motor are under the control of the material of some parts and the shape of magnet. Especially we compared the interior shape to the surface shape of the magnet. And we optimized the parameters like the temperature and the materials of magnet and core by tool for more efficient motor.
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The systematic function of the PLC (Programmable - Logic Controller) has been enhanced immensely due to the various special modules that consist of the conventional I/O control contants plus special function, which enables the flexible application to highly advanced systems. Position control module is one of the various PLC special module. In this paper, we proposed new synchronized operating method and implemented 8 - axis servo control system. The validity of proposed method is verified througth experimental results and it will be possible to expand 32 - axis servo control system by RS - 485 communication spec.
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Edges are one of the most important features used in various computer vision applications. Most of the known edge detection techniques are categorized into three gropus: First two approaches are to find gray level changes using first-order or second-order differentiation. The third method uses intrinsic propoeties of edges such as the result shown during scale space filtering. In this paper, we study various kind of edge detection techniques. Two images (Lenna image and a certain image which is composed of step, ramp, roof, and other artificial edge patterns) are used to compare different edge detection techniques and to verify the advantages and disadvantage of each techniques.
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Models of industrial robot manipulators are characterized by highly nonlinear equation with coupling between the variables of motion. In this paper, a case study that illustrates the use or nonlinear state feedback to decouple the control of a two axis SCARA type robot manipulator is presented. This method is based on a suitable partition about the dynamic equation of industrial robots. The performance of this method is showed by the computer simulation.
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3차원 CAD System의 보급이 확대되고, 또한 설계단계에 3D CAD의 적용이 진행되어 가면서 CAD System에 의한 3차원 입체모형 제작기술에 많은 관심이 주목되고 있다. 특히 최근에는 상품개발 Cycle의 단축화와 Concurrent Engineering 실현의 중요한 도구로써 다양한 기능을 제공하고 있다. 그 방법중의 하나가 특정한 파장에서 반응하는 광경화성 수지에 자외선의 Laser 광을 조사하여 원하는 입체형상을 제작하는 기술이다. 본 논문에서는 광조형물의 제작원리와 시스템 개발에 대하여 논하고자 한다.
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This paper deals with developmeant and application of coating thickness control system in hot dip galvanizing process. According to the line conditions, such as line speed, strip size and target coating weight, a predictive preset model sets the initial oprating conditions. Referring the zine coating informations from the gauge, mean coating value controller adjusts the chamber pressure and horizontal distance between strip and air knife, while coating deviation controller adjusts the lip gap profile of the air knife. All adaptive gains are interactively calculated by numeric models based on the theoretical analysis. The operating result with this system effectively reduces the coating deviation in transverse direction as well as in longitudinal direction.
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As PLC has become cetral to today's FA environment, the importance of developing and providing special-unit of PLC such as Analog-unit, PID-unit, Fuzzy-unit has increased. In this paper introduce the Fuzzy-unit which is developed by LGIS R&D lab, and presents availability of PLC-control system with fuzzy-unit.
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The ordinary differential equation (ODE) method has been widely used for the convergence analysis of stochastic recursive algorithms. The principal objective of this method is to associate to a given algorithm a differential equation with continuous righthand side. Usually some assumptions should be imposed to get such a differential equation. If any of assumptions fails, then the ODE method cannot be used. Recently a new method using differential inclusions (DIs) was introduced in [3], which is useful to deal with those cases. The DI method shares the same idea with the ODE method, but it is different in that a differential inclusion is identified instead of a differential equation with continuous righthand side. In this paper, we briefly review the DI method and then analyze a Robbins and Monro (RM)-type algorithm. Our focus is placed on the projected algorithm.
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Based on the detection of the size of datas of multipath channel characterization, we propose a new algorithm. called the impulse size based adaptive median filter(ISMF), for ghost cancellation system. The ISMF consists of two levels. The first one is the impulse noise size detection level and the second one is the adaptive median filtering level to remove the impulse noise detected. Test results confirm that the proposed ISMF removes impulse noise due to multipath channel characterization while preserving signal as well as ghosts so that the LMS algorithm performs effectively.
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The SaTReC is to develop, deploy, and operate a low Earth orbiting small satellite system, KITSAT-3, carrying a remote sensing payload, a space science payload, and a data collection system. Through the development of KITSAT-3, the SaTReC is to demonstrate the small satellite system which provides highly accurate attitude control, high speed data transmission, and a unique spacecraft configuration and to provide educational opportunities to Korean space industries and research institute. The KITSAT-3 is expected to be launched in the beginning of 1997 by Chinese Long March IV as a secondary payload into about 800 km's sunsynchronous orbit.
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This paper proposes an effective algorithm for automatic classification of power quality disturbances(PQD), where wavelet theory is utilized for the detection of PQD, and three neural networks such as MLP, RBF, MLP-Class are combined in parallel to classify PQD. To demonstrate the performance of the proposed system, simulation results are provided.
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In this paper, a transient signal classification system using logistic regression and neural networks is presented, where four neural networks such as MLP, MLP-Class, RBF and LVQ are utilized to classify given transient signals, based on the logistic regression method. Also, some test results with experimental transient signal data are provided.
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This paper has researched designing methods and characteristics of the indoor two-way CATV amplifier to amplify the weak signals and to separate the signals in the forward and the reverse channels in the cable system. It consists of diplex filters, equalizers, attenuators and amplifier modules. With the experimental results for frequency response, gain and slope controls, noise figures, return losses, distortion characteristics, we concluded that the operating capabilities of the amplifier developed in this research satisfy the design conditions.
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In this paper, development of Thermal Printer Head(TPH) controller by using gate array having high reliability and good performance is proposed. Over the 3000 gates are performed to control print image data signals and relative peripheral hardwares. The proposed gate array has TPH control circuit, print control and step motor drive, and print image data control, decoder output control parts. This TPH controller will be a good application to FAX or label printer and barcode printers.
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The modeling of accurate timing in storage elements of ASIC cell library was studied. The propagation delay time of clock signal affects the critical time and this can cause malfunction in the chip designed in synchronous. In this paper, an analysis on the effect of input slope of clock signal in timing modeling were carried out. For the first time, in ASIC design, the design guides that can be used in both
$0.6{\mu}M$ and$0.8{\mu}m$ design rule were offered, reducing the run time of SPICE and the time of cell library development. -
The purpose of extaction of edges of buildings is an extraction of 3-dimensional imformation. The performance of an exact extraction of edges of buildings using several classic algorithms was not so good. In this study we merged several exposed algorithms-----split-and-merge, anisotropic diffusion, modified canny operation, least mean sqare. Results of this extraction algorithm show better performance than any other detection algorithms of edges of buildings.
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The power telecommunication network is a important base construction of power company. The requirements of power plant operation, office automation, subscriber services make it to go on evolution for new structure and advanced services. For these reasons its evolution strategy establishment is needed for systematical improvement. In this paper, we established the structure of power integrated information network which will be able to adapt international standard trends, to support original power prodection, to have competitive power in the telecommunication service market, and suggest evolution strategy schemes for stepwise development.
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In this paper, we develop protype of wierless recognition system using low frequency. Application of this system is very broad. Namely, High-way toll gate, animal management, parking system and industral automation et al. This system is composed of controller, decoder and tag. Controller is personal PC, decoder is signal module and tag is mobile corresponder module. Modulation is ASK, 4,800bps, frequency is 120/60kHz and transmission length is about 80cm. And now we study improvement of stability, low power consumption, compact of tag and transmission length improvement.
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To get a good result of the feature-based stereo matching, contour of buildings must be extracted exactly. In this paper, an algorithm that extracts contour of flat top buildings exactly is proposed. The Algorithm is composed of three steps. One is to find corner points of 4 types in whole image and another is to extract exact lines between coners by edge following technique, the third is to extract exact contour of buildings using binding structures. We have a good result in extracting contour of buildings.
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The purpose of this paper is to present a nonlinear system identification method, where an adaptive nonlinear recursive state-spare(ANRSS) filter is employed as its filter structure, and a variable step (VS) algorithm is applied as its adaptation law. To demonstrate the validity of the proposed method, some simulation results are included.
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The convergence of adaptive algorithm depends mainly on the proper choice of the design factor called the covergence factor. In the paper, an optimal convergence factor involved in TRLMS algorithm, which is used to predict the coefficients of the ARMA predictor in ADPCM is presented. It is shown that such an optimal value can be generated by system signals such that the adaptive filter becomes self optimizing in terms of the convergence factor. This algorithm is applied to real image.
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In this paper, model reference adaptive fuzzy controller (MRAFC) was proposed in order to overcome the difficulty of extracting rules and defects of the adaptation performance in the FLC. MRAFC comprised inner feedback loop consisting of the FLC and plant, and outer loop consisting of an adaptation mechanism which is designed for tuning a control rule of the FLC. A reference-model was used for design criteria of a fuzzy controller which characterizes and quantizes the control performance required in the overall control system. Tuning control rules of FLC is performed by the adaptation mechanism. For this, the fuzzy model for tuning the contorl rules is designed in accordance with the feature of error information. And DC servo motor was selected for case study of actual industrial plant and tested on various loads.
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In this paper, a novel method which can recognize noised patterns by using a neural network is proposed. Patern recognition is processed by two networks and the processing mechanism is partially based on the results of neurophysiological studies. Synaptic activitoes of combining neurons between layers are implemented by spatial filters which approximate receptive fields of the modelled optic nerve cells.
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Studied on identification of nonlinear system with unknown variables and adaptive control were successful. We need a mathmatical model when control a dynamic system using adaptive control technique, but it is very difficult due to its nonlinearity. In this paper, we described about performance improvement of error back-propagation algorithm and learning algorithm of non-linear dynamic system. We examined the proposed back-propagation learn algorithm for through an experiment.
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This paper presents the automatic construction of fuzzy rule-based systems for diagnosing the faults of complex systems. Generally, fuzzy systems work well when we can use expert's experience to articulate fuzzy IF-THEN rules and memberships for fuzzy sets. When we cannot do this, we should generate the fuzzy rules and membership functions for fuzzy sets directly from experimental data. In this paper, we propose a new method on how to extract fuzzy sets and fuzzy rules. We also introduce an efficient fine-tunning algorithm of the parameters of membership functions.
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The objective of most image proccessing applications is to extract meaningful information from one or more pictures. It is accomplished efficiently using neural networks, which is used in image classification and image recognition. In neural networks, background and meaningful information are processed with same weight in input layer. In this paper, we propose the image classification method using neural networks, especially EBP(Error Back Propagation). Preprocessing is needed. In preprocessing, background is compressed and meaningful information is emphasized. We use the quadtree approach, which is a hierarchical data structure based on a regular decomposition of space.
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In this paper, an integrated chaos analysis system for EEG (ICASE) is designed for the analysis of brain functions based on the chaos theory. Nonlinear dynamic characteristics of EEG such as 3-D attractor, Poincare section, correlation dimension, Lyapunov exponents and power spectrum are extracted by this system. The results show that chaotic attractors which indicate the presence of deterministic, dynamics of complex nature could be identified from a routine EEG recording for normal and pathological activity. This proves that the chaotic analysis of EEG may be an appropriate tool in the classification of brain activity and thus a possible diagnostic tool.
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One of the most difficult tasks in the process of automatic vehicle license plate recognition is the extraction of each character from within license plate region. In many cases, characters, especially serial numbers of plates are connected together due to noise and plate accessories. The recognition process may not be successful without extracting these characters effectively. This paper presents an algorithm to extract these connected characters very effectively. The algorithm utilizes mathematical morphology, connected component analysis, and gradient filters for character extraction. The paper also presents thorough experimental results as well as details of the algorithm.
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The Information Diffusion Neural Networks is proposed to regenerate the 3-dimensional terrain elevation data from contour lines. Contours in paper map are an expression of terrain elevation in highly compressed form. A real time regeneration of terrain data for each grid points from the the contour information is required for various applications. In the proposed neural networks, the elevation information on contours is diffused to neighbor units through updating its output toward that of neighbor units. An interpolation of terrain information is achieved from such computation mechanithm. Terrain data regeneration simulation has been done with sampled terrain data on contour lines.
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This paper presents a new design technique that can be used for brain-state-in-a-box neural networks to realize associative memories. The applicability of the technique is demonstrated by means of a simulation example, which illustrates its strengths.
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Segmentation of image data is an important problem in computer vision, remote sensing, and image analysis. Most objects in the real world have textured surfaces. Segmentation based on texture information is possible even if there are no apparent intensity edges between the different regions. There are many existing methods for texture segmentation and classification, based on different types of statistics that can be obtained from the gray-level images. In this paper, we use a neural network model --- ART-2 (Adaptive Resonance Theory) for textures in an image, proposed by Carpenter and Grossberg. In our experiments, we use Walsh matrix as feature value for textured image.
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MPEG-II is the international standard of compression for digital image and digital audio that is the most important in the multimedia environment. Now many researchers are developing relevant systems. MPEG-II consists of video, audio, system and the other part. In this paper, we have designed and demonstrated two channel audio encoder system that processes the audio compression part, and excutes layer II for complexity and psychoacoustic model II, with ADSP-21020 of Analog Device.
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Image coding based on a fractal theory of iterated transformations presents highly compressed image. In this paper, we compress image using the partitioning method which devides image adaptively in horizon and vertical axis. This method can encode image more compactly than the quadtree partitioning method. The maximum range size can be selected as
$32{\times}32$ blocks and the minimum size can be$4{\times}4$ blocks. And the domain size is twice as many as the range size. -
In this paper, we propose a Self Organizing Feature Map (SOFM) Type Neural Computation Algorithm for the Travelling Salesman Problem(TSP). The actual best solution to the TSP problem is computatinally very hard. The reason is that it has many local minim points. Until now, in neural computation field, Hopield-Tank type algorithm is widely used for the TSP. SOFM and Elastic Net algorithm are other attempts for the TSP. In order to apply SOFM type neural computation algorithms to the TSP, the object function forms a euclidean norm between two vectors. We propose a Largrangian for the above request, and induce a learning equation. Experimental results represent that feasible solutions would be taken with the proposed algorithm.
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The ART(Adaptive Resonance Theory) model is self- organized with nonstationary input patterns in real time. But there is a multirun problem caused by fault clustering, or pertubated clustering and confines the advantage of the stationary real-time processing in ART model. In this paper, we propose the incremental vigilance threshold approach to decrease the number of multiruns. The incremental vigilance threshold approach is to learn with incremental vigilance threshold and competition with clusters.
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In this paper, we present a new morphological texture spectrum approach to obtain a surface orientation using the variation of texture image caused by projective distortions. Under the assumption that the surface of texture image is smooth continuous, and specially plane or sphere, we apply the mathematical morphology and texture spectrum in order to compute the 3-D surface orientation. If the surface of texture image is plane, the surface orientation can be obtained through a simple procedure. If the surface of texture image is sphere, we find the centroids of texels, and may compute several major axes, their slopes, and vanishing points. Using the texture spectrum between the intersections of the vanishing points and the size of elements in each texels, we can find the surface orientation of texels on the sphere.
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FLC has a good performance for complication system or unknown model by using human linguistic method but many part control design are based on expert knowledge or trial-error method and it is difficult to prove stability and robustness of controller. In this paper we improve this problem by setting fuzzy rules by dividing phase plane of error and rate of error change by switching surface. We can guarantee the stability in nonlinear system, and also in fuzzy PID type controller the complexity of controller design is increased by increasing the number of input variables and defining more range of operation if we want performance of more specific rules, thus we need to fine the method to decrease the number of control rules used in FLC design. In this paper the algorithm is validated by simulation using conventional FLC and proposed method.
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As the modern industrial processes become more complex, it is getting more difficult to model and control the processes. Naturally, an advanced type of DCS(Distributed Control System) with higher level functions is being sought Advanced DCS is a DCS with advanced functions such as fault diagnosis, GPC(Generalized Predictive Control), NN(Neural Network), and Fuzzy Control. In this thesis, we have studied a fuzzy control algorithm for realizing an advanced DCS. Its algorithm is implemented in a form of function code which is a process control language, being used by the industrial engineers. To verify the realized function code of the fuzzy control, the function code is applied to a continuous casting process of the Pohang Iron & Steel Works in Kwangyang. The rules of the fuzzy control were collected via interviews of the field operators and their operation documents. Finally, usability of the function code of the fuzzy control is shown via simulation for the continuous casting process model.
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In this study, the algorithm of optimal parameter inference is proposed. At this inferring method, we tried to acquire the follow-up to reference pattern through comparing the plant output pattern with random reference pattern. As an inference method, the fuzzy theory was applied and the proposed algorithm was proved by computer simulation.
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This paper presents an enhanced preprocessing and recognition algorithm for automatic vehicle license plate recognition system. The algorithm first applies horizontal gradient filter followed by thresholding and mathematical morphology operation for preprocessing. The final stage of the preprocessing is the application of connected component analysis in order to estimate the license plate region. For the recognition of the serial numbers of the plates, we developed a very effective algorithm. We call this zerocrossing count algorithm. This paper presents a detail of this algorithm and compare the performance with a template matching algorithm which utilizes correlation coefficient.
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This paper describes Sexual Reproduction Genetic Algorithm(SRGA) for function optimization. In SRGA, each individual utilize a diploid chromosome structure. Sex cells(gametes) are produced through artificial meiosis in which crossover and mutation occur. The proposed method has two selection operators, one, individual selection which selects the individual to fertilize, and the other, gamete selection which makes zygote for offspring production. We consider the effects of multi-selection and diploidy on search performance. SRGA improves local and global search(exploitation and exploration) and show optimum tracking performance in nonstationary environments. Gray coding is incorporated to transforming the search space and Genic uniform distribution method is proposed to alleviate the problem of premature convergence.