1999.07b
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In this paper, the design method of a hybrid fuzzy controller with an optimal auto-tuning method is proposed. The conventional PID controller becomes so sensitive to the control environments and the change of parameters that the efficiency of its utility for the complex and nonlinear plant has been questioned in transient state. In this paper, first, a hybrid fuzzy logic controller(HFLC) is proposed. The control input of the system in the HFLC is a convex combination by a fuzzy variable of the FLC's output in transient state and the PID's output in steady state. Second, a powerful auto-tuning algorithm is presented to automatically improve the Performance of controller, utilizing the improved complex method and the genetic algorithm. The algorithm estimates automatically the optimal values of scaling factors and PID coefficients. Controllers are applied to the plants with time-delay and the DC servo motor Computer simulations are conducted at the step input and the system performances are evaluated in the ITAE.
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In this paper, we propose a method which control parametric uncertainty systems using PID controller by fuzzy auto tuning. We get the error and the error change rate of plant output correspond to the initial value of parameter using the Ziegler-Nickols tuning and determine the new proportional gain
$(K_p)$ and the integral time$(T_i)$ from fuzzy tuner by the error and error change rate of plant output as a membership function of fuzzy theory. The Fuzzy Auto-tuning algorithm for PID controller operate to adapt variable parameter of plant in parametric uncertainty systems. It is shown this method considerably improve the transient response at computer simulation. -
In this paper, we propose a new fuzzy model identification method that can yield a successful fuzzy rule base for fundamental approximations. The method in this paper uses a set of input-output data and is based on a hybrid messy genetic algorithm (mGA) with a fine-tuning scheme. The mGA processes variable-length strings, while standard GAs work with a fixed-length coding scheme. For successfully identifying a complex nonlinear system, we first use the mGA, which coarsely optimizes the structure and the parameters of the fuzzy inference system, and then the gradient descent method which tine tunes the identified fuzzy model. In order to demonstrate the superiority and efficiency of the proposed scheme, we finally show its application to a nonlinear approximation.
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In this paper, we present a method for the analysis and design of fuzzy controller for nonlinear systems. In the design procedure, we represent the dynamics of nonlinear systems using a Takagi-Sugeno fuzzy model and formulate the controller rules, which shares the same fuzzy sets with the fuzzy system, using parallel distributed compensation method. Then, after the feedback gain of each local state feedback controller is obtained using the existing optimal pole-placement scheme, we construct an overall fuzzy logic controller by blending all local state feedback controller. Finally, the effectiveness and feasibility of the proposed fuzzy-model-based controller design method has been evaluated through an inverted pendulum system.
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In this paper, Neuro-Fuzzy controller which has the characteristic of Fuzzy control and artificial Neural Network is designed A fuzzy rule to be applied is selected automatically by the allocated neurons. The neurons correspond to Fuzzy rules which are created by the expert. In order to adaptivity, the more precise modeling is implemented by error back propagation learning of adjusting the link-weight of fuzzy membership function in Neuro-fuzzy controller. The more classified fuzzy rule is used to include the property of Dual mode Method. To test the effectiveness of the algorithm designed above the experiment for DC servo motor with variable load as variable load plant is implementation.
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This paper presents an feed-forward neural network design instead PI controller for the speed control of an Induction Motor. The design employs the training strategy with Neural Network Controller(NNC) and Neural Network Emulator(NNE). Emulator identifies the motor by simulating the input and output map. In order to update the weights of the Controller. Emulator supplies the error path to the output stage of the controller using backpropagation algorithm. and then Controller produces an adequate output to the system due to neural networks learning capability. Therefore it becomes adjustable to the system with changing characteristics caused by a load. The speed control based on neural networks for induction motor is implemented by a vector controlled induction motor. The simulation results demonstrate that actual motor speed with neural network system well follows the reference speed minimizing the error and is available to implement on the vector control theory.
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An adaptive fuzzy controller is constructed from a set of fuzzy IF-THEN rules whose parameters are adjusted on-line according to some adaptation law for the purpose of controlling the plant to track a given trajectory. Adaptive fuzzy controller of this paper is designed based on the Lyapunov synthesis approach The adaptive fuzzy controller is designed through the following steps: first, construct an initial controller based on linguistic descriptions(in the form of fuzzy IF-THEN rules) about the unknown plant from human experts; then, develop an adaptation law to adjust the parameters of the fuzzy controller on-line, the adaptive fuzzy controllers are used to control the inverted pendulum to track a given trajectory.
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This paper addresses the systematic approach to the fuzzy modeling of the class of complex and uncertain nonlinear systems. While the conventional genetic algorithm (GA) only searches the global solution, Virus-Evolutionary Genetic Algorithm(VEGA) can search the global and local optimal solution simultaneously. In the proposed method the parameter and the structure of the fuzzy model are automatically identified at the same time by using VEGA. To show the effectiveness and the feasibility of the proposed method, a numerical example is provided. The performance of the proposed method is compared with that of conventional GA.
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In this paper, we propose the target tracking system using fuzzy basis function expansion (FBFN) based on genetic algorithm (GA). In general, the objective of target tracking is to predict the future trajectory of the target based on the past position of the target obtained from the sensor. In the conventional and mathematical method, the parameter uncertainty and the environmental noise may deteriorate the performance of the system. To resolve these problems, we apply artificial intelligent technique to the tracking control of moving targets. The proposed method combines the advantages of both traditional and intelligent technique. The result of numerical simulation shows the effectiveness of the proposed method.
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This paper addresses the analysis and design of fuzzy control systems for a class of complex single input single output nonlinear systems. Firstly, the nonlinear system is represented by well-known Takagai-Sugeno (TS) fuzzy model and the global controller is constructed by compensating each linear model in the rule of TS fuzzy model. The design of conventional TS fuzzy-model-based controller usually is composed of two processes. One is to determine static state feedback gain of each local model and the other is to validate the stability of the designed fuzzy controller. In this paper, we propose an alternative of the design of TS fuzzy-model-based controller. The design scheme is based on the extension of conventional optimal control theory to the design of TS fuzzy-model-based controller. By using the proposed method the design and stability analysis of the TS fuzzy model-based controller is reduced to the problem of finding the solution of a set of algebraic Riccati equations. And we use the recently developed interior point method to find the solution of AREs, where AREs are recast as the LMI formulation. One simulation example is given to show the effectiveness and feasibility of the proposed fuzzy controller design method.
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The main aim of this paper is to investigate the possibility of applying fuzzy control algorithms to a microprocessor-based servomotor controller which requires faster and more accurate response compared with many other industrial processes. In addition, this study deals with the control of the lateral motion of a mobile vehicle. A adaptive fuzzy logic controller(AFLC) is designed and applied to a experimental mobile vehicle in order to achieve control of the lateral motion of the vehicle.
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Fuzzy Systems which are based on membership functions and rules, can control nonlinear, uncertain, complex systems well. However, Fuzzy logic controller(FLC) has problems; It is difficult to design the stable FLC and FLC depends mainly on individual experience. Although FLC can be designed using the error back-propagation algorithm, it takes long time to converge into global, optimal parameters. Well-developed linear system theory should not be replaced by FLC, but instead, it should be suitably used with FLC. A new methodology is introduced for designing THEN-PART membership functions of FLC based on its well-tuned state feedback controller. A example of inverted pendulum is given for demonstration of the robustness of proposed methodology.
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When dealing with a controller design in the two parameter configuration, there are some situations when neither a known pseudo inverse technique nor the inverse method can be applicable. In this case, we propose two methods of designing a controller by the gradient algorithm and the new pseudo inverse method such that the designed closed loop polynomial may be equal to or nearly equal to the desired closed loop polynomial. We compare the proposed methods with the known methods. We use the Manabe standard form as a desired closed loop characteristic polynomial.
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We develop jumping ring system with sensor and control system using dynamic neural networks. Jumping ring, sensor and control system are controlled by 586 PC using Turbo C program. Sensor system is composed of 20 optical sensors and encoder. The control circuits are consisted of thyristor, FET and phase controller. A/D converter and optical sensor acquire real time motion data of the jumping ring system. The information of acquired jumping ring Position is estimated by using dynamic neural networks. Estimated control signals are sent to control circuits and D/A converter to track desired position of the jumping ring system. Experiment results are given to verify that proposed dynamic controller is useful in real jumping ring system.
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In this paper, the composition method of global and local fuzzy reasoning concepts is researched for reducing the number of rules, not losing the performance for fuzzy controller. A new method is proposed in details that controls the interaction between global reasoning and local reasoning. In order to automatically acquire and optimize the method, the DNA coding algorithm is introduced to the local fuzzy reasoning of the proposed composition fuzzy reasoning method. The method is applied to the real liquid level control system for the purpose of evaluating the Performance. The simulation results show that the proposed technique can produce the fuzzy rules with higher accuracy and feasibility than the conventional methods.
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For the safty driving of an automobile which is become individual requisites, a new Neural Network algorithm which recognized the load vehicles in real time is proposed. The proposed neural network technique is the real time computation method through the inter-node diffusion. In the network, a node corresponds to a state in the quantized input space. Each node is composed of a processing unit and fixed weights from its neighbor nodes as well as its input terminal. The most reliable algorithm derived for real time recognition of vehicles, is a dynamic programming based algorithm based on sequence matching techniques that would process the data as it arrives and could therefore provide continuously updated neighbor information estimates. Through several simulation experiments, real time reconstruction of the nonlinear image information is processed 1-D LIPN hardware has been composed and various experiments with static and dynamic signals have been implmented.
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This paper describes a control technique of coupled tank level using Evolutionary Neural Network. In general, the control of tank level without a dangerous overflow and with a high accuracy is difficult because of higher order time delay and nonlinearity. Nonetheless, proposed Evolution Neural Network controller in this paper was successfully implemented and simulation results of the superiority over a conventional PID one was investigated.
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In this paper, we developed the new-type digital gyrocompass for ship. This is made of DTG(Dynamically Tuned Gyro) and two accelerometers. The simple structure of two-axis free gimbals and the digital precession by CPU unit are main differences from Sperry or Anschutz type gyrocompass. As experimental results, the developed gyrocompass seeks the true north within 1 hour and support maximum speed 100[knot], maximum latitude
$75[^{\circ}]NS$ . By the comparison with other company's Products, we show the uniqueness and the excellence of the proposed gyrocompass. -
In this paper, the Observer Controller IDentification/Eigensystem Realization Algorithm(OCID/ERA) is applied to identify the state space model of a helicopter in hover from a given set of the general input-output data. The objective of this paper is the evaluation of the utility of the OCID/ERA approach to the system identification of a system which has natural unstable mode like a helicopter and to give some guidelines before applying the technique to the real system. As it mentioned above, since a model helicopter is unstable naturally, the closed-loop system identification method(OCID/ERA) using excitation, output and feedback signals of the simulated system is applied.
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The SOFM neural network as the recognizant algorithm of 3-D underwater object with ultrasonic sensor had the recognizant rate of 100%.
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In this paper, we control attitude of an unstructured object with gyro actuator. It is well known that the attitude control of an object hanging with wire is not easy using usual actuators. Even though an actuator such as a fan can be used for control of the object, it is difficult to meet a desired control objectives. We, because of these reasons, make a gyro actuator with two motors. The first motor is responsible for spinning the wheel at high speed and the second motor is used to turn the inner gimbal. Applying the torque to the second motor, which results in the turn of the outer gimbal, torque about the vertical axis will be obtained while the wheel of the gyro is spinning constantly. This torque is used to control the attitude of the object attached. Gyro actuator utilize control unstructured object such as I-beam carrying by tower crane, and isolate construction workers from the dangerous environments. We derive a relationship of wheel and its motor, find a proper capacity of wheel motor in order to rotate a wheel. Through experiments of attitude control, we show to obtain desired control objectives.
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HILS is widely used in the test and evaluation of complex control system. This paper describes the structure of HILS and the control loop performance monitoring of HILS system Distal path delay and FMS(Flight Motion Simulator) dynamics were estimated and output of the estimated model were compared with real FMS output. The monitoring system can be used for analyzing the result of HILS.
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This paper presents a method for designing an autopilot of the BTT missile using 2DOF Wiener-Hopf control technique to improve tracking performance. Linear controllers are designed based on the linearized models which are obtained from the nonlinear missile dynamic equations at various operating points. The gain scheduling technique is used to implement the final autopilot. A simulation on the flight of missiles is carried out through the use of 6DOF equation program including exact nonlinear equations of the missile and the variations of aerodynamic variables in order to check applicability of the suggested method in real situation.
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Brushless DC motor which has the characteristics of high efficiency and high torque, can be controlled speed by the encoder or resolver. But these sensors cost highly and have the problem that they increases the size. This paper proposes a speed control by Hall-Sensor. which is small and cheap. But this sensor has a problem of low resolution. To solve the problem this paper proposes speed control by using a least square algorithm.
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본 연구의 목적은 자계방향 기준 벡터제어 이론에 기초하여 속도 센스리스 벡터제어를 구현하는 것이다. 속도센스리스 벡터제어에서 속도추정 방법은 관측기에서 얻은 상태량을 취하는 MRAS 방법이 제안되고 있지만 이득정수의 조정을 행하여야 하는 결점을 가지고 있다. 본 논문에서는 속도추정은 관측기 이론에 기초하여 2차자속 관측기와 전류센스에서 검출한 전류 값으로 행하는 새로운 속도 추정법을 이용한 제어 알고리즘을 제안한다. 그리고 제안한 방법이 본 연구에 있어서 사용한 자계방향 벡터제어시스템의 실현에 가능성이 있음을 시뮬레이션으로 검토하고 실제로 시스템을 구현하여 센스리스 속도제어를 달성하였다.
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This paper presents a design method of deadbeat controller for DC motor driving a rotational system with gear. The results of sampling a continuous-data process does not guarantee that no ripples occur between the sampling instants in the continuous-data output, but the proposed deadbeat control system that consists of the integral controller and the full state observer, and zero order hold using in continuous systems, has many advantages of such as an output response without the ripple and reaching the steady state without error after a given sampling period and faster settling time than the optimal control system in the short sampling period. The results of case study through matlab simulation shown that the efficiency of the proposed controller for DC motor driving a rotational system with gear, is verified by comparing with optimal controller etc.
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This paper presents the controller of multiple DC motors using the network. This controller has been built with 16-bits one chip microprocessor (87C196CA) which includes the integrated CAN serial communication and position control for two motors. Since only one microprocessor is needed, the proposed controller is not only cost effective but also powerful. The system is composed of one main controller, trajectory planner, and the other sub controller, position controller. The main controller which has been built using Visual Basic programming on the Pentium PC, generates the trajectory and then transmits it to the sub controller. The trajectory transmitted from the PC will be processed by the sub controller. Two motors are controlled using the conventional position control, PID, to reach them the same target position but with different velocities at the same time. The communications between the main controller and sub controller is performed through the RS-232 or the CAN communication The CAN would be safer and faster than serial communication network since it has non-destructive bitwise arbitration specification. In this paper, we consider the CAN communications generally and then show the usefulness of the proposed controller by demonstrating position control of two DC motors.
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A robust controller design methodology is proposed, where the proposed controller consists of a servo controller at the outer loop as well as the robust internal-loop compensator (RIC) to eliminate the model uncertainty and external disturbance. It is shown that RIC is general structure of DOB and ARC. Numerical example is illustrated to show validities of the proposed robust controller.
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In this paper, we consider the robust pole assignment for linear system with time-varying uncertainty. The considered uncertainty is an unstructured uncertainty. Based on Lyapunov stability and linear matrix inequality technique, we present a condition that guarantees the robust pole assignment inside a circular disk and the robust stability of uncertain linear systems. Finally, we show the usefulness of our results by an example.
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In this paper, we propose a unified method to solve the various robust filtering problem for a class of uncertain discrete time systems. Generally, to solve the robust filtering problem, we must convert the convex optimization problem with uncertainty blocks to the uncertainty free convex optimization problem. To do this, we derive the robust matrix inequality problem. This technique involves using constant scaling parameter which can be optimized by solving a linear matrix inequality problem. Therefore, the robust matrix inequality problem does not conservative. The robust filter can be designed by using this robust matrix inequality problem and by considering its solvability conditions.
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In this paper, we consider the design of a state feedback
$H_{\infty}$ controller for linear systems with saturating actuators. We consider a general saturating actuator and employ the multiplicative decomposition to deal with it effectively. Based on Linear Matrix Inequality (LMI) techniques, we present a condition on designing a controller that guarantees the$L_2$ gain, from the noise to the output, is not greater than a given value. A controller is obtained by checking the feasibility of three LMI's, and this can be easily done by well-known control package. Finally, we show the usefulness of our result by a numerical example. -
In this paper, the genetic algorithm is used to design a mixed
$H_2/H{\infty}$ controller. Two kinds of controller forms, Youla's form and the general form are considered to design a mixed$H_2/H{\infty}$ controller Efficient searching methods are sought to minimize the given$H_2$ cost function under the$H{\infty}$ constraint. It is verified by an example that the developed algorithm can provide stable results in the region where unstable results are shown by the conventional gradient method. -
In this paper, the aspects on modeling and control of an existing wind turbine are discussed. When designing control for variable-speed wind turbine, one deals with highly resonant, nonlinear dynamic systems subject to random excitation, i.e. wind turbulence. This requires good knowledge of the dynamics to be controlled. This paper describes an mathematical modeling of wind turbines with emphasis on control design for an existing wind turbine.
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Mutual Recognition Agreement(MRA) between national metrology institutes is started on October 1999 and International Key Comparison is essentially to be used as technical basis for the agreement. High resistance is one of the Key Comparison and high resistance measurement system is established in KRISS for the purpose of the Key Comparison. Total combined uncertainty of the system is about 4ppm in
$10M{\Omega}$ and 8ppm in$1G{\Omega}$ . With the system, the difference of comparison results for$10M{\Omega}$ and$1G{\Omega}$ among KRISS, VNIIM in Russia and NIM in China is agreed about 6ppm within total combined uncertainty of three institutes. -
The purpose of this research is on figuring out the optimal PID parameter using critical gain and critical frequency that are obtained by relay feedback. The operating has been done under the condition that the least information about the object plant is given and also the operating is processed within the limit which dose not give rise to bad influence on the object plant. For simulation auto-tuning PID controller using relay feedback which also works on on-line at the same time is developed by the upper procedure. This algorithm is tried to apply to level-temperature control plant on a real time with PC Interface Card.
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In order to improve the operational reliability, it is necessary to validate the measured sensor data, isolate any failed sensor and recover the failed critical measurement. This paper describes the use of estimating equation to identify failed sensors and to recover the feedback signal for control purpose when the sensor measurement is determined to be erroneous Simulation results show that the proposed sensor validation scheme can adequately identify the failed sensor and provide reasonable estimates for control purposes.
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Nowadays the trend has been changed from MHC through EHC to D-EHC in turbine control system. But many plants aren't being operated by D-EHC System. We are trying to retrofit one of the EHC to D-EHC system. In this paper, we are going to introduce an overview of the control logics from turbine prewarming to synchronization of small and medium size power plants, respectively.
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웨이퍼내의 온도 균일도를 확보하는 것은 고속열처리공정장비(RTP)에 있어서 입력신호 수집을 통해 달성해야 할 중요한 제어 요소이며, 이러한 온도의 균일도를 향상시키기 위해서는 웨이퍼의 각 지점에 대한 정확한 온도 계측이 필수적으로 선행되어야 한다. 그러나 RTP의 구조적 특징과 동작특성 때문에 정확한 온도계측이 매우 어려운 면이 있다. 온도계측은 주로 고온계를 통해 이루어지는데 대류와 복사 등 여러 가지 원인에 의해서 웨이퍼내에 온도가 불균일하게 되는 경우 한정된 개수의 고온계로 온도 분포를 정확히 추정할 수 없는 한계를 지니고 있다. 본 논문에서는 RTP 공정을 열역학적으로 접근하여 단일점 온도 계측에 의한 전체 온도 분포 추정 기법을 연구하고 이것을 다중점 온도 계측에 의한 온도 분포 추정 기법으로 확장 발전시켜 웨이퍼에 상대적으로 영향을 끼치는 요소 중 예측 불가능하거나 측정 불가능한 요소까지 포함하여 최소의 측정치를 활용하여, 적절한 제어입력 유도에 필요한 형태로 웨이퍼상의 온도계측을 가능하게 하였다.
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In this paper, Model following PID control system, which is combined PID controller with Model Reference Adaptive Controller, is proposed. To decrease complex and much calculation which is produced in tuning process, the tuning method of parameter with fuzzy algorithm is introduced. Fuzzy algorithm isn't used in the form of controller generally much used, but tuner. Experimental results show that proposed controller has the PID parameter be tuned by fuzzy algorithm. Therefore, We expect model following PID to be operated in the real-time control.
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실제 공정상에서는 웨이퍼에 열을 가하는 공정뿐만 아니라 다른 형태의 여러 공정도중에도 다양한 종류의 예측 불가능한 고장 또는 기기의 오동작이 발생할 수 있으며 이는 고속열처리장비(RTP)의 throughput과 수율에 심각한 영향을 미치고 있다. 따라서 RTP 공정의 일부분뿐만 아니라 전체 공정에서의 장비의 상태변화를 기반으로 성능인자를 향상시킬 수 있는 modeling기법의 구축이 절실하다. 각각의 에러 수준과 발생 빈도에 의해서 시스템의 동작과 성능이 결정되며 높은 신뢰도(reliability)가 요구되는 시스템일수록 필수적으로 모든 부분의 기능 및 동작상태를 고려한 모델링이 선행되어야 한다. 그러나 시스템의 많은 부분은 분석 및 실험을 바탕으로 한 정확한 상태 방정식을 구할 수 없으므로 추상적이고 개념적인 상태변화 또한 전체 모델링에 포함시킬 수 있는 효율적인 기법이 필요하다. 이에 본 논문은 DES 모델링 기법을 사용하여 RTP의 동작 운용상태를 모델링하고 이를 통해 적절한 성능평가를 하고, 이를 컴퓨터 모의실험을 통해 검증하는 것을 주된 연구내용으로 한다.
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This paper presents a new FDI scheme based on dynamic fuzzy model(DFM) for the nonlinear system. The dynamic behavior of a nonlinear system is represented by a set of local linear models. The parameters of the DFM are identified in on-line and aggregated to generate a residual vector by the approximate reasoning. The neural network classifer learns the relationship between the residual vector and fault type and used both for the detection and isolation of process faults We apply the proposed FDI scheme to the FDI system design for a two-tank system and show the usefulness of the proposed scheme.
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In this paper, we develop intelligent digitally redesigned PAM and PWM fuzzy controllers for nonlinear systems. Takagi-Sugeno fuzzy model is used to model the nonlinear systems and a continuous-time fuzzy-model-based controller is designed based on the extended parallel-distributed-compensation method. The digital controllers are determined from existing analogue controllers. The proposed method provides an accurate and effective method for digital control of continuous·time nonlinear systems and enables us to efficiently implement a digital controller via pre-determined continuous-time TS fuzzy-model-based controller. We have applied the proposed method to the balancing problem of the inverted pendulum to show the effectiveness and feasibility of the method.
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We design to the temperature control system based on Receding horizon control(RHC) with a terminal output weighting for stochastic state model. This system has a large time delay, a nonlinear temperature characteristics, a perturbation, a disturbance, etc. In this paper, we show that RHC can easily be applied to the system to track the desired temperature, since it takes the receding horizon strategy for both controller and filter.
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본 논문에서는 선형 대규모 시스템(large-scale systems)에 대하여 강건한 분산 제어기를 설계한다. 동일한 부시템(identical subsystems)들이 서로 대칭적으로 연결되어 있는 제어기 설계 시 불확실성은 부시스템 행렬과 연결 시스템 행렬의 유계된 매개 변수 변동을 모두 고려한다. 본 논문의 설계 절차는 대칭 연결 구조를 불확실성으로 포함시킨 하나의 인공적인 보조 시스템(artificial auxiliary systems)으로 번환 함으로써 대규모 시스템에 대한 분산 제어기 설계의 복잡성을 줄일 수 있음을 보이고 수치 예를 통해 이를 확인한다.
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In this paper, we are going to explain the operation principles of steam control valve, governing equation of compressible and incompressible fluids and flow characteristic according to plug(disc) types. Governor and the relation of main steam pressure to flow and main steam will also be explained.
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In between of linear and nonlinear systems lies a large class of bilinear systems. The major importance of bilinear systems lies in the applications to the real world systems such as many physical processes, many biological process, some economic process. Despite vast application of bilinear systems they have not been studied extensively in the domain of singularly perturbations except for a few minor results. In this paper we will utilize singular peturbations theory to obtain the closed-loop optimal solution for discrete-time bilinear systems.
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Kalman Filter model of demand for residental water and consumption pattern were tested for their ability to explain the hourly residental demand for water in metropolitan distribution system. The hourly residental demand for water is calculated from the daily residental demand and consumption pattern. The consumption pattern which has 24 time rates is characterized by data granulization in accordance with season kind, weather and holiday. The proposed approach is applied to water distribution system of metropolitan areas in Korea and its effectiveness is checked.
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In this paper, the design method of target tracking systems using the extended
$H^{\infty}$ filter(EHF) is proposed. Usually, a Cartesian coordinate frame is tell suited to describe the target dynamics. However, the measurements made in radar-centered polar coordinates are expressed as nonlinear equations in Cartesian coordinates. Thus the tacking problem is concerned with the nonlinear estimation. The extended$H^{\infty}$ filter is able to deal with the problems arising in the target tacking systems such as the parameter uncertainty included inevitably in modeling physical systems mathematically, the unavailableness of the stochastic information about exogenous disturbances, and errors due to the linearization of measurement equations. We show the proposed filter is robuster than the extended Kalman filter(EKF) through a simple target tracking example. -
카메라 영상을 통하여 무인 헬리콥터 동작을 추정하기 위해 적응형 가중치를 사용한 새로운 Ego-Motion을 검출 기법을 제안하였다. 무인 헬리콥터 동적 특성은 비선형이며, 심한 진동 발생으로 영상 번짐(blur) 현상이 나타나기 때문에 상관 값만을 고려한 정합 방법으로는 빈번히 오차가 발생한다. 본 논문에서는 가속도, 각 가속도 및 제어입력 값에 의한 위치 추정 값과 상관 값 및 에지 강도를 가중치에 의해 융합하여 정확한 Ego-Motion을 계산할 수 있는 기법을 제안하였다. 또한 무인 헬리콥터의 가속도, 각 가속도, 상하 속도에 따라서 영상의 번짐 정도가 달라 이들 같이 크면 위치오차에 가중을 크게 주고, 작으면 상관 값에 가중치를 적게 주는 적응형 가중치 결정 알고리즘을 적용하였다. 제안한 적응형 가중치 기법을 무인 헬리콥터에 실험한 결과 카메라에 포착된 영상에 의해 무인헬기의 동작을 정확히 추정 할 수 있었다.
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This paper presents musculotendon model to show the decline in muscle force during functional electrical stimulation (FES). It represent muscle activation and contraction concepts including muscle fatigue. A muscle fatigue term in activation dynamics as a function of the intracellular acidification and the pulsewidth of stimulation pulses change activation to decline muscle force. The computer simulation shows that muscle force decline in stimulation time.
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In this paper, we proposed a simple neural network-based parameter tuning algorithm, which could find the gradients of a certain performance index in the PID parameter spaces. In this process, we had to know the dynamics between input and output of the plant, and we used the Back Propagation Neural network to identify them. To make the parameter updating fast and smooth, we constructed the performance index as the sum of past N-squared plant errors, and applied a batch mode algorithm to update parameters. We performed several experiments with a DC Motor to show the validity of the proposed algorithm.
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본 연구에서는 자기공명영상에서 인체에 에너지를 주고, 신호를 받는 transceiver 역할을 하는 RF(Radio Frequency) 코일을 제작하여 phantom의 영상을 얻었다. 코일의 종류는 high-pass 타입의 birdcage형으로 제작을 하였으며, 영상을 얻는데 사용한 자기공명영상진단장비는 주 자기장의 세기가 1.5T인 GE사의 시스템이다. 이 시스템을 이용하여 phantom의 축방향과 축방향에 수직인 두 방향의 영상을 얻었다.
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An adaptive algorithm is presented for diagnosis of actuator faults. The concept of unknown input decoupling is combined with an adaptive observer, leading to an adaptive diagnostic observer, which has the robustness property in the presence of an unmeasurable term such as uncertainties. The observation error equation for the adaptive diagnostic observer does not depend on the effect of uncertainties and used to construct an adaptive diagnostic algorithm that provides the estimates of the gains of actuators, which can be obtained directly via the use of the augmented error technique. The simulation results indicate that the proposed algorithm is more realistic in the sense that better robustness properties can be assured without knowledge about uncertainties and is potentially useful in the development of a fault tolerant control system.
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We have developed a automatic surface inspection system for cold Rolled strips in steel making process for several years. We have experienced the various kinds of surface inspection systems, including linear CCD camera type and the laser type inspection system which was installed in cold rolled strips production lines. But, we did not satisfied with these inspection systems owing to insufficient detection and classification rate, real time processing performance and limited line speed of real production lines. In order to increase detection and computing power, we have used the Dark Field illumination with Infra_Red LED, Bright Field illumination with Xenon Lamp, Parallel Computing Processor with Area typed CCD camera and full software based image processing technique for the ease up_grading and maintenance. In this paper, we introduced the automatic inspection system and real time image processing technique using the Object Detection, Defect Detection, Classification algorithms. As a result of experiment, under the situation of the high speed processed line(max 1000 meter per minute) defect detection is above 90% for all occurred defects in real line, defect name classification rate is about 80% for most frequently occurred 8 defect, and defect grade classification rate is 84% for name classified defect.
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In order to cope with the occurrence of abnormal operation, rotatory condition monitoring system for guide roller of finishing train in wire rolling has been developed. In this study, proximity sensor and its holding devices that could overcome severe in-situ measurement conditions was designed and MMI software using C++ was programmed. Performance of the developed system turned out to be good enough as results of in-line test for POSCO #3 wire rolling mill. It is expected to contribute to prevent the cobble and the grade-down of products caused by the abnornormal operation of guide rollers.
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At present electrical and electronic technologies is rapidly improved, and they have formed their market widely. New technologies such as traffic signal system, navigation system and unmanned vehicle are connected with transportation field. Among these advanced technologies, the Image Processing Technology has been used for the astro-navigation, medicine, military field and so forth. Recently The Image Processing Technologies are widely applied to traffic enforcement system for signal, speed limit and HOV lane. In this study we developed the advanced enforcement system for over limit(overweight)vehicles using Image Processing System.
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This paper introduces a implementation of fault detection for national highway line 3. Fault detection system was installed and operated on national highway line 3, environmental elements caused by abnormal status or faults has often happened. Therefore, the function of fault detection system is to speedy notify fault site, cause as well as scale of fault to manager. Though the fault detection and diagnosis system has been imported in the field of process of water and electric power, it is just beginning step in the field of ITS(Intelligent Transportation Systems). In general, Maintenance system is performed the online/offline process of detection, diagnosis and measure. This paper is studied online detection process, which is realtime remote detection.
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In this paper, we propose an traffic data acquisition method and automatic vehicle classification system using laser. We use a invisible laser to minimize measuring error caused by environmental variation. also we use radio frequency data communication and PCMCIA for operating convenience.
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As a method of obtaining pulse transfer function. transfer function of discrete-time from input-output data, there are method of obtaining unknown parameter of pulse transfer function from estimated impulse response before(1-3). There is no need to approximate to several meanings because of not being established algebraical relations between impulse response for estimation error and parameter of transfer function exactly. In this paper, I inquire the method[4] of obtaining the optimal pulse transfer function as a meaning of Hankel norm approximation from impulse response data and examine estimated property as computer simulation from this method.
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발전소 운전원 훈련용 시뮬레이터는 중앙제어실(MCR:Main Control Room) 운전원의 운전결과가 실시간 운영체계하에 발전소 프로세스 모델 및 컴퓨터 시스템과 통합되어 실제 발전소와 같은 반응을 운전원에게 제공하여야 한다. 따라서 시뮬레이터에는 프로세스의 동특성 이외에도 제어시스템의 모델링 및 운전원과 인터페이스되는 제어기들이 실제적으로 구성되어야하며, 이들 제어기와 컴퓨터시스템간 다양한 입력간의 통신 및 동기(Synchronization)가 중요하다. 본 논문에서는 원자력 발전소 시뮬레이터에서 쓰이는 지능형 계기(Intelligent Type Instrument)로 분류된 기기를 살펴보고 시뮬레이션을 위해 개발 구현된 방법들을 기술하고자한다.
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In this thesis, We implement the controller system only using the neural network to identify the plant characteristics with keeping the PID controller structure. The neural network has learned by the adaptive learning rates that has suggested by Chao-Chee Ku and the DBP algorithm. We proposed the on-line tuning algorithm about the unknown plant using the adaptive tuning technique. As a result of executing the parameters has tuned from the initial value to more suitable ones and the output of the Plant has improved and also it is appeared that the convergence is guaranteed.
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In this paper, the adaptive nonlinear state observer is proposed to estimate the internal states and the nonlinearities of 4-cylinders 4-cycles spark ignition(SI) engines. The observed states and nonlinearities will be used to design the adaptive feedback linearization controller for reducing the fluctuation of idle speed. The simulation results are represented to show the validity of the proposed nonlinear observer-based adaptive controller.
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현재 저소음, 고효율 시스템의 요구로 인해 가전제품에 인버터 기술을 채용한 제품 개발이 활발히 진행되고 있다. 인버터 제품은 기존 On/Off 제어에 비해 제어 알고리즘이 복잡해지고, 그에 따른 개발 기간이 늘어난다. 이에 새로운 시스템에 대한 제어 알고리즘을 용이하여 개발하기 위해 PC Interfacing 기술을 이용하여 제품개발이 많이 이루어지고 있다. [1][2] 본 연구에서는 3상 사인파 통전 방식이라는 신방식인버터 세탁기를 개발하는데 있어서, 선행적인 세탁 알고리즘 개발 및 새로운 Sensing 방법 개발 모터 구동로직 개발의 효율성을 높이는데 필요한 Tool 개발 사례를 보여 주고자 한다.
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This paper represents the application of a virtual plant simulator and a Ladder Diagram of PLC. A target plant is a material transport car that repeatedly conveys along the rails. The whole process is automatically operated by PLC. The simulation system consists of the POSFA PLC and the virtual plant simulator. We demonstrate that operation of a LD program corresponds to operation of the virtual plant simulator.
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The Power supplies used commonly in the Nuclear, Thermal and Hydraulic Power Plant are required to test the function and reliabilities. For the better contribution of reliable operation and speedy maintenance of Power Plant, it is necessary to gather and analyze the datum, to print out the result of testing using PC and proper controllers. Various kinds of power supply shall be tested and examined automatically. By storing the test results in the Database it is possible to find out the changing of characteristics of power supplies. So it is very useful to prevent any problems that may occur in the power supplies.
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In this study, a seesaw system is used as an example to demonstrate effectiveness of the control theory. This problem which keeps a seesaw's balance is corresponded to one of regulating problems. In this regard, a controller is designed by LQ techniques and an observer is implemented and applied to estimate states which cannot be actually measured in this system. And the genetic algorithm is utilized to systematically choose weighting factors in the given cost function. The performance of the controller is verified through the experiment results.
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In this paper, Fuzzy Logic Controller was Designed for the Degree control of Arago's disk system. Arago's disk system is an application of Arago's disk phenomenon which is the operating principle of induction motor. Since the Arago's disk system varies to stable region. maginally stable region, unstable region according to the degree of bar respectively, it is a sutable system which can be evaluate an efficiency of the system. While an existing controller which was designed using linearized system modeling could control the system on only one operating point, fuzzy logic controller has the advantage in showing good response for multi-operating points because it does not need system modeling.
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Ball-balancing control systems are ideal to demonstrate the design and hardware implementation Procedures of optimal controllers based on modern control theory. This paper presents the design of an
$H_2$ optimal controller based on the generalized plant model of the ball-balancing system. The problem of balancing a metal ball on the midpoint of a beam is ultimately related to a regulating problem. So, the designed controller is correspond to this problem. The controller was experimented by DSP(digital signal processing) equipments and simulated by MATLAB. The performance of controller was verified through the experiments. -
In this study, an intelligent solenoid valve controller has been developed for automatic maintaining of filters in a dust collecting system. This controller has automatic controllability of solenoid valves' ON/OFF time depending on the clogging status of filters, and then it can extend the filters' lifetimes, decrease the power consumption, and make effective operation of the system possible. This controllability has been executed by the fuzzy theory that utilizes the workers' experimental knowledges, the control expert's knowledges and the differential pressures between the inlets and outlets measured by the sensors.
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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. In this paper, a transmitter and a receiver using two identical Chua's circuits are proposed and a equivalent wire secure communications are investigated. A secure communication method in which the desired information signal is synthesized with the chaos signal created by the Chua's circuit is proposed and information signal is demodulated also using the Chua's circuit. The proposed method is synthesizing the desired information with the chaos circuit by adding the information signal to the chaos signal in the wire transmission system.
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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. In this paper, a transmitter and a receiver using two identical Chua's circuits are proposed and a equivalent wire synchronizations are investigated Since the synchronization of the wire transmission system is impossible by coupled synchronization, theory having both the drive-response and the coupled synchronization is proposed. As a result, the chaos synchronization has delay characteristics in the wire transmission system caused by the line parameters L and C.
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In this paper, the direct and indirect neural adaptive controller are combined based on the Lyapunov synthesis approach. The proposed adaptive controller is constructed from RBF neural network and a set of fuzzy IF-THEN rules. And the weighting parameters are adjusted on-line according to some adaptation law for the purpose of controlling the plant to track a given trajectory. In this scheme, fuzzy IF-THEN rules are used to decide the combined weighting factor. It is shown that all the signals in the closed-loop system are uniformly bounded under mild assumptions. The effectiveness of the proposed control scheme is demonstrated through the control of one-link rigid robotics manipulator.
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This paper suggests a new supervisory control input for improving response of nonlinear system with adaptive neural controller. The proposed control input is constructed using variable parameters which is adjusted by a separated control law. With the proposed algorithm, the information about the parameters are not required and error range is managed by designer in this scheme. The effectiveness of the proposed control scheme is demonstrated through the control of inverted pendulum.
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Distributed Control System has been used for large scale and critical system control such as aerospace industries, chemical and power plant and so on. It is very impotant factors for design of the control system to be reliable and fault-tolerant. These control systems have backup or redundant processing modules for minimizing the time of failure and improving reliability. But such methods have changeover duration from faulty module to healthy one. During that interval, feedback control loop raises bumper and performance of the system become worse. TMR(Triple Modular Redundancy) control system is one of the best reliable ones that can overcome such a mortal drawback. This paper analyzes the components of TMR system functionally and proposes practical and cost effective configuration method for turbine control of thermal power plant.
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The electricity demand has been in the trend of increase for the past 30 years except last year due to economic crisis. The central electrical power dispatch center anticipates each and every hour's electricity demand and dispatch every power plant's output(MW) taking into account of the costs, frequency regulation abilities, locations, reliabilities and so on. to meet the demand as quickly as possible. The large portion of the power plants' output is contolled automatically by the AGC(Automatic Generation Control) function which is a part of the EMS(Energy Manage System) computer in the dispatch center. To receive the electrical power dispatch signal from the EMS, a power plant should have a remote MW control feature in the turbine control system or unit master control system. We investigated the AGC function and a power plant's remote MW control configuration.
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All equipment generally has a specified design service life. As an equipment nears the end of its design service life, replacement must be considered. In some cases, it is possible and more economical to continue the usage of the existing equipment for a longer period. So, replacement should be carefully decided considering the feasibility and economic benefits of the existing equipments' life extension. In this paper, assessment procedure for deciding between life extension and replacement of the electronic control system is presented with an application example. In particular estimation of the electronic control system's remaining life is focused on.
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The demand for the high quality of utility electrical power has been increasing rapidly in recent years because of today's electrical energy dependent industries and most people's everyday lives based on computer systems. However, electrical power supply conditions to meet this high quality demand becomes more difficult and more due to a large portion of nuclear power plants output in total electrical power supply which normally do not respond to frequency variations, and high peak of air conditioner demands during the summer season. So the rest of power plants should be operated to show the best governor regulation performance to maintain the electrical power frequency quality.
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In these days, pumped storaged power plants are under operations mainly for load regulation in power system. After we investigated the governor related electrical circuit of a pumped storaged power plant, we measured speed regulation and dead time of both the governor and the hydraulic system according to the change of variables of the governor during generation. After that the measured speed regulation improved much.
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We acquired operating data to develop a digital control system adaptable to gas turbine power plant with about 50 to 100MW. We analyzed an existing analog control logic using these data. We developed control application programs for turbine automatic start up. We showed a similar result compared with an existing analog control system by computer simulation.
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We acquired operating data in an existing steam turbine power plant using analog control system to investigate operation characteristics. We analyzed a load control logic to develop a digital turbine control system. The load control logic is constituted of load target, load reference, loading rate, load limit and admission mode transfer of valve. The result of this paper is utilized to implement a digital turbine control system.
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When we are trying to retrofit turbine control system from analog system to digital one, a new communication network is required to be contstructed. In this paper, we are going to introduce one example of economic communication network, which is reliable in operation from control room and field instruments to office and computer room. It will be installed in a power plant in the case of retrofiting control system of medium size steam turbine.
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The operational properties of BPF(block-pulse functions) are much applied to the analysis of time-varying linear systems. The integral operational matrix of BPF converts the systems in the form of the differential equation into the algebraic problems. But the errors caused by using the integral operational matrix make it difficult that we exactly analyze time-varying linear systems. So, in this paper, to analyze time-varying linear systems we had used the recursive algorithm derived from the new integral operational matrix. And the usefulness of the proposed method is verified by the example.
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To promote fuzzy logic in industrial applications, the German Association of Mechanical and Electrical Engineers(VDI/VDE) established the work group UA451, focusing on "Fuzzy Logic and Fuzzy Control" in 1991. The group focuses on two activities: providing information platforms for designers to exchange project experiences and fuzzy logic standardization. This article presents some of the intermediate results of the standardization activities and discusses future standards for fuzzy logic systems.
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When the controller designed by the
$H{\infty}$ control technique is applied to the object system, sometimes the controller does not satisfy the robust stability and robust performance but only satisfy the nominal performance. In this paper, we derive the region on the frequency response curve of the open-loop transfer function which satisfy the robustness and robust performance of the designed controller. We also derive the region for the suitableness of the weighting function on the frequency response curve of the weighting function. We showed that the robust stability and the robust performance of the$H{\infty}$ optimal control)or by applying the designed controller on an electromechanical actuator system could be improved by determining parameter${\gamma}$ and weighting function gain${\alpha}$ using the derived region. -
In this paper, to bring under robust and accurate control of auto-equipment systems which disturbance, parameter alteration of system, uncertainty and so forth exist, neural network controller called dynamic neural processor(DNP) is designed. Also, the architecture and learning algorithm of the proposed dynamic neural network, the DNP, are described and computer simulations are provided to demonstrate the effectiveness of the proposed learning method using the DNP.
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In industry and engineering, the tensile measurement of single crystal metal material such as the uniform change, surface structure and the tensile torque of the material is not easy to obtain by current the tensile measurement methods. In this paper, we have implemented a tensile system which can acquire tensile information in real time.
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본 논문은 마찰력을 갖는 기계시스템에 대한 시간최적제어문제의 엄밀한 해를 제시한다. 특히 최적제어입력을 되먹임 형태로 구한다. 기존의 연구들에서 미리 보상되거나 무시되던 Coulomb 마찰력까지 완전히 고려하여 빠른 응답을 얻는데 제어입력을 최대한 활용할 수 있게 한다.
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In this paper, A new approach to stable adaptive fuzzy control of systems is proposed. The proposed scheme does not require an accurate mathematical model yet it guarantees an asymptotic stability. Fuzzy logic system, which has the property of universal approximator is used as an adaptive element of the proposed controller. Also this Paper proposes a fuzzy system that estimates the maximum limit of the uncertain term in the system dynamics to guarantee the Lyapunov stability. Proposed adaptive fuzzy control is applied to the DC servo motor system in order to show its good performance.
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In this paper, identifier for thermal storage system using multi-layer feedforward neural network (MFNN) is designed. It is very difficult to control thermal storage system, since thermal storage system is nonlinear and its time constant is very large. Thus, in the MFNN, delta-bar-delta algorithm for high running speed and 2-bit status input are used. Also hardware using microprocessor for identifier is developed. The experimental results indicate that the proposed method can predict temperature more accurately.
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In this paper we consider the TORA system and use backstepping to design active controllers for tracking; this problem is much more challenging than stabilization. We show that the control effort of the closed-loop system can be significantly improved by exploiting the backstepping design.
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This paper deals with speed control of DC-servo motor using a Back-Propagation(BP) Learning Algorism and a PID controller Conventionally in the industrial control, PID controller has been used. But the PID controller produced suitable parameter of each system and also variable of PID controller should be changed enviroment, disturbance, load. So this paper revealed for experimental, a neural network and a PID controller combined system using developed speed characters of a Variable Load DC-servo motor. The parameters of the plant are determined by neural network perform on on-line system after training the neural network on off-line system.
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In this paper, recursive least square algorithm is presented to estimate the parameters of step motor under low-speed operation. Parameter estimation is important for compensating the input current by calculating the ratio of the motor torque constant and detent torque constant that causes torque-ripple in low-speed applications. On-line parameter estimation process is a preliminary procedure to apply step motor to adaptive control. Computer simulation shows that the estimated parameters converge in finite time.
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고주파 열처리 유도로의 설계에서 품질의 향상을 위하여 인버터의 고주파 기술이 요구되고 있다. 본 연구에서는 고주파 유도가열 장치의 대용량, 고주파 화를 실현하기 위하여 회로 설계 기술과 제어방식을 제안하였다. 부하 공진 인버터는 H형 전-브리지로 구성하고 각 암 당 IGBT를 2병렬로 조합하여 구성하고 부하는 직병렬 공진회로로 구성한다. 스위칭 동작은 8개의 IGBT중 각 암 당 2개씩 순차제어하여 고속 대용량의 고주파 전력을 출력시킨다. 또한 스위칭은 스위치 턴온 오프시에 스위칭 손실을 줄이기 위해 ZVS기법을 도입한다. 제어는 고정주파수 PWM제어를 하여 전력변환 효율을 극대화한다.
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In this paper, neural network-supervisory control method is proposed to minimize the effect of system uncertainty by load change and disturbance in the PID control system. In the proposed method, PID controller performs main control action by performing control within constraint error. And neural network-supervisory controller performs control action when error reaches the boundary of constraint error. Combining neural network-supervisory controller to guarantee the stability into PID control system, the resulting PID control system is expected to show better performance in the system with load change and disturbance. Simulation applying PID controller and neural network-supervisory controller showed excellence of proposed method.
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본 논문에서는 3상 유도전동기의 속도를 제어하는데 기존 제어기의 문제점을 해결하고 최적화하기 위해서 유전자 알고리즘을 이용한 하이브리드 퍼지 -PID(HFPID) 제어기를 고안하고, 이에 대한 파라미터 설정 방법을 제안한다. 유도전동기의 제어는 지연시간이 길고, 비선형성이 강하며, 부하변동이 잦은 프로세스이기 때문에, 기존의 제어방식으로는 만족할만한 결과를 얻을 수 없다. 제안한 하이브리드 퍼지-PID 제어기는 PID 제어기의 장점인 과도기의 우수성과 퍼지 제어기의 장점인 정상기의 우수성을 퍼지 변수로 결합시켜 설계한다. 이 제어기에 유전자 알고리즘을 적용하여 최적의 퍼지 및 PID 파라미터를 설정하다. 그리고 이 제어기를 3상 유도전동기의 속도 제어에 응용한다. 또한 속도오차에 대한 룩업 표를 만들어 온라인 실시간 제어를 가능하게 한다. 이상의 과정을 3상 유도전동기에서 컴퓨터 시뮬레이션 하였다. 시뮬레이션 결과를 비교해 볼 때, 하이브리드 퍼지-PID 제어기는 기존의 제어기 보다 전동기의 속도 및 토크성분 전류 둥의 특성에서 우수한 성능을 보였다.
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In this paper, the edge intensification and detection algorithm which is one of image processing operations is considered. Edge detection algorithm is the most useful and important method for image processing or image analysis. The vision system based on these processing and concerned in specific project is proposed and is applied to the inverted pendulum in order to automatically acquire the angles between the bar and the perpendicular reference line. In this paper, the angles that are obtained from some images of computer vision system can offer useful informations for control of real inverted pendulum system. Next, the inverted pendulum will be controlled by the proposed method.
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The meters for low voltage customer presently being used in Korea are all mechanical type and there is strict limitation on applying various customized tariff structure. Recently low voltage solid state meter is under development by several makers of the watt hour meter in Korea. Also, KEPCO has a plan to use the solid state meter for low voltage customer to reduce peak power. So, this paper suggests the needed function of low voltage solid state meter considering electricity tariff policy.
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Robust fuzzy logic control, PID control, and sliding mode controllers are designed to control the speed of a third order linear time-invariant model of a motor. The step response performance of each controller, applied to the motor plant, is Presented. We conclude fuzzy logic control can be a useful tool for the control engineering.
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An automatic measurement system of high value resistance standards(
$10M{\Omega}$ and$1G{\Omega}$ ) was developed. A system has been assembled with programmable do calibrators in two of the arms. An electrometer is used to measure the difference in currents flowing through the remaining two arms of the bridge consisting of unknown and standard resistors. Type A standard uncertainty was 2ppm in the$10M{\Omega}$ , 1 ppm in the$1G{\Omega}$ . -
The three-mode PID controller is widely used in plant because control algorithm is simple and tuning method is general. But the conventional PID controller can not have the both purpose of setpoint tracking and disturbance rejection at the same time. In this paper, we studied the application 2DOF PID controller to pneumatic control valve through simulation and experiments. Results are Presented a satisfactory response
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In this paper, we are applied the Genetic Algorithm (GA) to design of fuzzy logic controller (FLC) for a DC Servo-Motor Speed Control. GA is used to design of the membership functions and scaling factor of FLC. To evaluate the performances of the proposed FLC, we make an experiment on FLC for the speed control of an actual DC servo-motor system with nonlinear characteristics. Experimental results show that proposed controller have better performance than those of PD controller.
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In the two-mass system driving a load through a flexible shaft or transmission system, a shaft torsional vibration is often generated. In this case, it's difficult to control only by conventional PI controller. To solve this problem. the two-mass speed control system with PID controller is designed by using pole assignment method, and an optimum PID parameters are derived by evaluating ITAE(Integral of time multiplied by the absolute error) performance index. Simulation results show the validity of the proposed PID controller and this controller is compared with the conventional PID controller.
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Helicopter system is regarded as a challenging example in multivariable robust control application since the dynamics of helicopter is highly coupled and nonlinear. In this paper, Dynamic equations for model helicopter at hover are derived. Various system properties are stated with respect to control of the attitude of the vehicle. A linearized model is used to analyse the system stability and to design the attitude controller. The simulation results of LQG controller are presented.
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This paper compares two methods of GPS/INS integration ; tightly-coupled integration ana loosely-coupled integration. In the tightly -coupled method an integrated Kalman filter is designed to process raw GPS measurement data for state update and INS data for propagation. The loosely-coupled integration method uses the solution outputs from a stand-alone GPS receiver for update. The loosely-coupled method is simpler and can readily be applied to off-the-self receivers and sensors while the tightly-coupled integration requires access to raw measurement mechanism of the receiver. Simulation result show that the tightly-coupled integration system exhibits better performance and robustness than loosely-coupled integration method.
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This paper considers the problem of identifying the time-varying parameters of Bilinear systems. The Parameters, in this paper, are identified by using the EBPOMs (Extended Block Pulse Operational Matrices) which can reduce the burden of operation and the volume of error caused by matrices multiplication
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This paper considers the problem of identifying the time-varying parameters of Bilinear systems. The Parameters, in this paper, are identified by using the EBPOMs (Extended Block Pulse Operational Matrices) which can reduce the burden of operation and the volume of error caused by matrices multiplication
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This paper is a study on the real-position measurements of mobile object using n network. 2-D PSD sensor is used to measure th position of moving object with light source. Position Sensitive Detector(PSD) is an useful which can be used to measure the position o incidence light in accuracy and in real-time. T the position of light source of moving target, neural network technique are proposed and applied. Real-time position measurements of the mobile robot with light source is examined to validate the proposed method. It is shown that the proposed technique provides accurate position estimation of the moving object.
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Failover subsystem of computer consists four modes In this paper, These modes will be discussed in more detail. - dual computer mode - failover mode - single computer mode - standby synchronization mode we have suggested the method of dual/redunancy configulation of server computer. Failover is activated by the standby computer, active computer receives a failover request across the inter-computer link immediatly. The active computer controls the scada system and maintains the current state in it's data base and channel system safety.
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In this paper, modeling and analysis of discrete event systems by temporal logic frame works and petri net is considered. The reachability tree of the petri net can be used to solve the safeness, boundedness, conservation and coverability problems of discrete event systems. But the reachability tree of the petri net do not solve reachability and liveness problems in general. We proposed a method that synthesised the petri net and the temporal logic frameworks. This method slove some problems of petri net by logical representation of temporal logic frameworks.
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This paper presents a design of stabilization controller for combat vehicle. A Stabilization system reject disturbances while vehicle moving. The conventional stabilization controller used to constant gain. We can improve the aiming performance by appropriate controller gain. We can find the proper controller gain for road frequencies by evolution strategy(ES). The relationship between the frequencies and proper control gains are generalized by use of the neural network. The road frequency estimated by wavelet transform of disturbance signal. The simulation result show that proposed controller is superior to the conventional stabilization controller.
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A speed signal of governor, which control the output and speed of a generator, is important because a signal failure can be causing the shutdown of a power plant. thus, it is necessary to introduce switching method with two complementary signal. This paper presents a comparative study of speed signal switching methods. One of the Proposed methods has been tested at a power plant in Pukcheju and the approach described here is expected to be of wide applicability.
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본 논문에서는 도립 진자 시스템에 대하여 모델의 불확실성에도 불구하고 수레의 위치가 기준 입력을 추종하는 강건한 2-자유도(two degree of freedom) 제어기를 설계한다. 도립 진자 시스템의 모델 불확실성은 기약 분해 불확실성으로 고려하고, 기준 입력 추종 성능은 도립 진자 시스템의 수레 위치가 원하는 기준 위치로 추종하는 문제를 고려한다. 이러한 강건 안정화와 기준입력 추종사이의 절충 문제를 해결하기 위해서 2-자유도 제어기를 설계한다. 2-자유도 제어기는 프리필터와 피드백 제어기로 구성된다. 설계 절차에 따라 얻어진 제어기는 모의 실험을 통해 그 성능을 확인한다.
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This paper presents a new algorithm of three-level optimal control for non-linear large scale systems using fast walsh transform. Since the solution is obtained through the information exchange of coefficient vectors induced walsh transform of all levels, this algorithm is quick and convenient. The validity of the proposed method is checked in the simulation.
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The induction machine has been used frequently for the system that needs static speed because of its simplicity, durability, credibility and efficiency. But it is nonlinear system for its multi-variable interference. Its controller is more complicated than DC machine's one. So vector control method is needed for its high Performance control. This paper shows that vector control algorithm could be more fast and stable by using Genetic algorithm (GA) based upon Darwin's evolution theory and Mendel's genetics. Methods proposed in here are used to design induction machine's vector controller and to use GA for optimizing the controller's parameter. SIMULINK of MATLAB is used for analysis and conviction of control property
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The analysis of distribution line faults is essential to the proper protection of power system. A high impedance fault(HIF) dose not make enough current to cause conventional protective device. It is well known that undesirable operating conditions and certain types of faults on electric distribution feeders cannot be detected by using conventional Protection system. This paper describes an algorithm using neural network for pattern recognition and detection of high impedance faults. Wavelet transform analysis gives the time-scale information. Time-scale representation of high impedance faults can detect easily and localize correctly the fault waveform.
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This paper describes the development of a fuzzy gain scheduling scheme of PID controller for inverted pendulum system. Fuzzy rules and reasoning are utilized on-line to determine the controller parameters based on the error signal and its difference. Simulation results demonstrate that better control performance can be achieved in comparison with PID controller using pole placement to control of a Inverted pendulum.
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Adaptive Fuzzy control system is very powerful in nonlinear system, but That system require exactly membership function and parameter. If the membership function and parameter are not exact, the system will generate chattering. Using the Pole assignment compensator can remove the chattering and steepest descent method can reduce the convergence time. In this Paper, this algorithm applicate to the Inverted pendulum, so save proof of algorithm that is to be vigorous.
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본 논문은 국산 개발 분산제어시스템의 신뢰성을 향상시키기 위하여 Power Supply System, Control Processor, Communication System에 대한 이중화 구조를 분석하고 외국 시스템과의 비교를 통해 국산 시스템의 미비점을 파악하고 이를 개선하기 위한 이중화 구조 설계 방안을 제시하고자 한다.
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In this paper we obtain a discrete mathmatical model of a Boiler control system from expermental data, we find appropriate input signal and parameter estimation algorithm for identification of the Boiler control system in power plant. Under these conditions experimental data are collected from real system and parameters are estimated by the Recursive Least Square algorithm. The computer simulation results show the parameter estimation algorithm for identification and the effectiveness of controller design of the Boiler control system.
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According to the reports about the failure mode analysis of modules and systems, It is said that there are many early failure of system. To remove latent defects which causes early failures like that, It is necessary that screening test is performed. ESS is often used fur screening electronic equipments, and is proposed by the most powerful tool for removing latent defects of electronic equipments. [1][2] In this report, the procedure of the environmental stress screening which uses the temperature cycling stress is proposed. It is considered about environmental conditions of distributed control system(DCS) to be tested, design specifications of the system, recommended conditions of relative IEC-STD and applied conditions of similar company. ESS test was applied at the DCS to be installed in power plant. As the results of analyzing discovered problems. It was found that almost latent defects of electronic control systems was discovered early.
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화력발전소 제어는 디지털 분산제어시스템에 의해서 이루어지고 보일러의 각종 프로세스는 대부분 PID제어기에 의해 제어되므로 PID제어기의 최적 조정은 보일러 프로세스의 안정적 운전에 가장 중요한 요소라고 볼 수 있다. 이러한 PID제어기는 분산제어시스템 제작사에 따라 구현방법을 달리하고 있으므로 PID제어기의 최적조정을 위해서는 구현된 PID제어기의 알고리즘을 이해하는 것이 필요하다. 본 논문에서는 먼저 화력발전소 보일러 디지털 분산제어시스템의 국산화 개발품에 채용된 PID제어기와 화력발전소에서 사용 중인 주요 외국 제작사별 PID제어기의 알고리즘에 대하여 기술한다. 임의의 모델링 된 프로세스에 대하여 릴레이 피드백을 이용하여 임계진폭과 임계주기를 구하고 Ziegler-Nichols 주파수응답법을 이용하여 적합한 PID제어기 파라미터를 산출한 후 각각의 PID제어기에 산출된 파라미터를 적용 시뮬레이션하여 PID제어기들의 성능을 비교 분석하고자 한다.
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최근 윈도우즈 기반 운영체제의 발전과 PC의 성능 향상으로 제어분야에서의 PC 활용이 가속화되면서 PC 기반의 분산제어시스템이 등장하였고, 전력연구원에서는 화력발전소의 국산개발 배연탈황설비 제어시스템에 PC 기반 분산제어시스템을 도입하여 운용하고 있다. 이러한 PC 기반 분산제어시스템의 활용으로 하위구조에 다양한 종류의 입출력시스템을 선택 가능하게 되었고 시스템 구축에 대한 독자적인 방법을 채택할 수 있게 되었다. 본 논문에서는 국산개발 배연탈황설비에 적용된 PC 기반 분산제어시스템의 전반적인 구성을 살펴보고 제어프로세서인 현장제어유닛과 하위 입출력시스템의 하드웨어 구조, 상호간 통신 구조 및 시스템 이중화구조에 대하여 기술하고자 한다. 또한 입출력시스템 간의 인터페이스 방법과 입출력 모듈 종류에 따른 현장기기의 활용방법에 대하여 알아보고 향후 PC 기반 분산제어시스템의 입출력시스템 구축 시 고려하여야 할 사항들에 대하여 기술하고자 한다.
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Virtual Reality is a set of computer technologies which, when combined, provide an interface to a computer-generated world, and in particular, provide such a convincing interface that the user believes he is actually in a three dimensional computer-generated world. This computer generated world may be a model of a real-world object, such as a house; it might be an world that does not exist in a real sense but is understood by humans, such as a chemical molecule or a representation of a set of data; or it might be in a completely imaginary science fiction world. this paper describes the application of boiler digital control system MMI for power plant using virtual reality
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Recently, with the development of computer technology, field instrument and control system using in industrial fields have changed from mechanical, electrical systems to digital electronic systems. Distributed control system(DCS), control functions are dispersed for grading up reliability and informations are combined fur effective management has been developed and sold. As this system has been enlarged and complicated, it is difficult to testing the system and very important to verifing functions systematically. In this report, function test procedure which is performed spontaneously by domestic or foreign DCS manufacturer was searched and analyzed. As its results, the test procedure of DCS functions were proposed. The proposed procedure was applied to DCS being used for a thermal power plant. The function test for DCS requires continuous and dynamic input/output signals, therefore we proposed the method to compose virtual plant which simulate the DCS functions with. And we suggested the test procedure of each DCS function.
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Robust control is needed according to the highest precision of industrial automation. However, when a control system with PID controller has an effect of load disturbance, it is difficult to guarantee the robustness of control system, as a method solving this problem, in this paper. Feedfoward supervisory control method for PID control system is presented the effectiveness of the control scheme is verified by simulation results.
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The intent of this paper is to describe a neural network structure called dynamic neural processor(DNP), and examine how it can be used in developing a learning scheme for computing robot inverse kinematic transformations. The architecture and learning algorithm of the proposed dynamic neural network structure, the DNP, are described. Computer simulations are demonstrate the effectiveness of the Proposed learning using the DNP.
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PID 제어는 50년의 역사를 갖기 때문에 현장의 사용자는 이 제어방식에 익숙해져 있으며, 제어장치의 구성이 간단하며 제어기의 최적동조가 가능하므로 많은 분야에서 사용되고 있다[1]. 그러나 PID 제어기에 의해서 얻은 결과에 대하여 만족하기 위해서는 많은 시행착오를 겪어야 한다. 또한 만족하는 결과를 얻었다고 할지라도 외란, 플랜트의 동특성이 바뀌는 경우 시스템을 추종하지 못하기 때문에 파라미터를 재조정하여야 한다. 유전 알고리즘은 자연세계의 진화 현상에 기초한 계산모델로서 John Holland에 의해서 1975년에 개발된 전역적인 최적화 알고리즘이며[1][2], 비선형 고차원, 불연속, 다중모드, 노이즈 함수 등에 대하여 강건함을 보여주고, 복잡한 탐색 공간에서 최적 값을 스스로 발견하는 학습 능력을 갖는다. 이 방법은 재생산, 교배, 돌연변이를 통하여 최적해를 찾은 방법으로 1989년에 D. E. Goldgerg에 의해서 체계적으로 정리된 후 여러 분야에서 응용되고 있다[3][4]. 그러나 유전 알고리즘은 목적함수만을 이용하여 해집단을 탐색하기 때문에 숙련운전자가 원하는 제어 특성 명세인 상승시간, 정착시간, 초과량(oveshoot) 둥을 구체적으로 명시하여 제어에 반영할 수 없다. 또한, 유전 알고리즘은 입력 값이 크게 바뀔 경우 다른 시스템으로 인식하여 새로운 탐색을 수행하는 단점을 가지고 있다. 본 논문은 첫째, 기준모델을 도입하여 플랜트의 성능을 기준모델로 표현하여 플랜트가 요구하는 성능지표를 정량적으로 규정하는 것이 가능하였다. 또한, 이것은 미지 플랜트 동특성을 식별하기 위한 신호로 사용되어, 플랜트의 정보를 얻는데 이용되었다. 즉, 기준모델과 플랜트 출력사이의 추종 오차 정보가 적응기구인 PID 유전제어기의 입력으로 사용되며, 구형파 입력의 경우에도 기준모델과 플랜트의 출력차는 크게 변하지 않는다. 따라서, 유전 알고리즘의 목적함수에 기준 모델을 제안 적용하여 안정적이고, 세밀한 제어를 수행하였다. 둘째, PID의 간단하면서 확실한 제어가 가능하다는 점과 전역적인 최적값을 찾을 수 있는 유전 알고리즘을 적용하여 고속제어를 요하는 직류 서보 모터(DC Servo Motor) 운전 시 실시간 파라미터 동조에 적용하였다.
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This paper presents a scaling factor tuning method to improve the performance of fuzzy logic controller. Tuning rules and reasoning are utilized off-line to determine the scaling factors based on absolute value of the error and its difference. In this paper We proposed a new method to generate fuzzy logic controllers throught genetic algorithm. The developed approach is subsequently applied to the design of proportional plus integral type fuzzy controller for a dc-servo motor control system. The performance of this control system is demonstrated higher than a conventional fuzzy logic controller(FLC).
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본 연구에서는 유전알고리즘을 이용한 인간의 팔운동 근전신호의 기능분리에 관한 방법을 제시하였다. 6가지 기능의 팔운동 시에 근전신호의 특성을 유전알고리즘을 이용하여 기능분리 하였다.
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In this paper, a novel sliding surface is proposed by defining a novel virtual state. This sliding surface has nominal dynamics of an original system and makes it possible that the Discrete-Time Sliding Mode Control(DSMC) technique is used with the various types of controllers. Its design Is based on the augmented system whose dynamics have a higher order than that of the original system. The reaching phase is removed by using an initial virtual state which makes the initial sliding function equal to zero.
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In this paper, new sliding mode surfaces are proposed by defining novel virtual states. These sliding surfaces have nominal dynamics of an original system and makes it possible that the Sliding Mode Control(SMC) technique is used with the various types of controllers. Its design is based on the augmented system whose dynamics have m-th higher order than those of the original system where m is the number of inputs. The reaching phase is removed by setting the initial virtual states which makes the initial switching functions equal to zero.
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This paper proposes a robust control system with the disturbance observer for BLDC servo system. The overall control system is composed of the speed controller which is implemented with PI controller and the disturbance observer with free parameters. The BLDC servo system can improve the closed loop characteristics without affecting the command input response. The characteristics of the closed loop system is improved by suppressing disturbance effectively with the disturbance observer. Measurement noise is also considered by adjusting bandwidth of free parameters. We can overcome the drawbacks of the conventional PI controller. Finally, the performance of the controller is analyzed theoretically and some simulation results are presented to demonstrate the better performance than the conventional PI controllers.
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In this paper, the feedback linearization technique is used with the sliding mode control for discrete nonlinear systems. This combination of the two control techniques is achieved by Proposing a novel sliding surface which has the nominal dynamics of the original system controlled by feedback linearization technique. Its design is based on the augmented system whose dynamics have a higher order than that of the original system. The reaching Phase is removed by using an initial virtual state which makes the initial sliding function equal to zero.
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In this paper, a novel sliding surface is proposed by introducing a virtual state. This sliding surface has nominal dynamics of an original system and makes it possible that the Sliding Mode Control(SMC) technique is combined with the
$H_{\infty}$ controller. Its design is based on the augument system whose dynamics have one higher order than that of the original system. The reaching phase is removed by setting an initial virtual state which makes the initial switching function equal to zero. -
In this paper, noble optimal controller is proposed to overcome the relative optimality of the existing method. It use a virtual state which is less weighted then the actual states and input.
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In adaptive fuzzy control, fuzzy systems are used to approximate the unknown plant nonlinearities. However, because of the approximating error introduced into the feedback loop, it is difficult to guarantee the stability of the adaptive control algorithm. This paper presents a robust control algorithm against the reconstruction error and uniform boundedness of the all signals is estabilished in the Lyapunov sense.
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To reduce chattering in sliding mode control, a boundary layer around the sliding surface is used, and a continuous control is applied within the boundary. In this paper, a method of determining the sliding mode controller switching gains and the width of boundary layer is presented. Contrary to the trial and error selection of the switching gains and the width of boundary layer, the selection in the presented work is done using genetic algorithms. Simulation results show that the system performance has been improved.
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In this research a real-time control system was developed without program codings during control system designing procedures. On the Simulink window control system is designed in the form of block diagrams, program codes are produced automatically with the real time workshop package, then C-compiler compiles the program codes. With this automatic real-time program producing mechanism rapid prototyping is realized. To show effectiveness of the proposed system designing scheme a DSP-based DC motor speed control system was constructed and PI and Fuzzy control methods were implemented.
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Recently a new modified Smith predictor is proposed for a time-delay system with an integrator. It is shown that the approximate model yields the zero-steady state error and the disturbance compensator improved the transient response. But in case of mismatch between the plant's time-delay and model's time-delay, the overall response is not satisfactory. In this paper, it is proposed that the proper pole is added to the new modified smith predictor to improve the overall response.
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In this paper, we present model predictive control scheme based on neural network to control discrete-time chaotic systems. We use a feedforward neural network as nonlinear prediction model. The training algorithm used is an adaptive backpropagation algorithm that tunes the connection weights. And control signal is obtained by using gradient descent (GD), some kind of LMS method. We identify that the system identification results through model prediction control have a great effect on control performance. Finally, simulation results show that the proposed control algorithm performs much better than the conventional controller.
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In this Paper, the design of a feedback linearization controller using multilayer neural network is proposed. The Proposed feedback linearization control scheme is designed by finding Lie derivatives from an identified neural networks. Lie derivatives are expressed as a combination of weights and neuron outputs. The proposed method is applied to an antenna arm problem and the simulation results show performance comparisons between the ordinary feedback linearization and the Proposed method.
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Recognition rates of 3-D underwater object using the SCL neural network and the SOFM neural network were 91.8% and 95.9%, respectively.
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This paper presents a genetic learning algorithm with partial update technique in application to active control system. Proposed algorithm divides active control system into two parts, real time control part and control parameter update part. This genetic algorithm has global convergent advantage and is expected to be applied easily to real time active noise and vibration control systems. Computer simulation was performed.
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첨단의 자동화 시스템을 구축하기 위해서는 각 필드기기에서 생산되는 정보들을 적절한 형태로 가공하여 적시에 필요한 공정으로 제공하여 줄 수 있는 지능형 센서 및 필드기기의 도입이 필요하다. 이러한 필드기기들이 유기적으로 정보를 교환하고 공유하기 위해서는 통신망 시스템을 구축할 필요가 있다. 필드버스는 자동화 및 분산 제어 시스템의 컴퓨터 통신망 계층구조에서 최하위 계층 기기들 간에 실시간 통신을 제공하는 산업용 통신망이다. 본 연구에서는 통신용 프로세서인 Mc68360을 기반으로 하여 필드버스의 일종인 Profibus의 물리계층과 데이터링크계층 프로토콜을 구현하였다. 물리계층은 프로세서의 UART 통신 기능과 RS-485칩을 사용하여 구현하고, 데이터링크계층 프로토콜은 프레임 분석과 송수신, 에러처리, 흐름제어, 매체접속권한 관리 등의 기능을 소프트웨어로 구현하였다. 또한 지능형 센서 본래의 목적중의 하나인 원격관리 기능을 위하여 각 필드기기의 노드 주소, 타이머 값 등의 통신 파라미터를 원격 마스터에서 설정할 수 있도록 관리계층의 기능을 추가하였다. 본 연구에서는 각각 하나의 노드기능을 담당하는 여러 개의 보드들로 구성된 testbed를 구축하고, 다양한 통신환경에서 초기화, 정상, 비정상 상태 등의 동작을 실험하였으며, 이를 통하여 지능형 센서용 필드버스의 데이터링크계층 프로토콜이 정상적으로 동작됨을 확인하였다.
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In this paper, a monitoring system is desigend for a GPS/INS integration system. The function of the monitoring system is to acquire real-time data from system and displayed them. The monitoring system supervises the operation of navigation system. Visual C++ was used in the implementation. The performance of the monitoring system was verified through a real-time test for a GPS/INS Integration system which is composed of a GPS Receiver. IMU(Inertial Measurement Unit), NCU (Navigation Computer Unit)
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In the distributed control systems where the control components, controllers and sensors are distributed on a communications network, there exist network time delays on communication lines between the system components. This paper deals with the ramp tracking controller design issue for such systems. Time delay terms are converted into the rational terms using Pade approximation method and the system is augmented with two integrators for ramp tracking. For this system,
${\mu}$ -controller design method, which enables to meet not only performance requirements but robust stabilities simultaneously, is employed. -
In the case of using sensor in the industrial control systems, the location of sensor is not close to the system which utilizes the sensor data. Two main functions of intelligent sensor are data processing and communication. In this paper, we will show that the developed result of intelligent sensor, which process the sensor data inside of the sensor module, except for the communication function. For this, we refered to the Profibus and Fieldbus Foundation standard.
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In this paper we proposed a new fuzzy modeling method by Fuzzy Equalization(FE) based on probability theory. FE concerns a process of building membership function without learning using back-propagation of neural network. Therefore, we compare the proposed method with Adaptive Network-based Inference System based on hybrid learning. Finally, we will show better performance and its usefulness for a new fuzzy modeling to automobile mpg prediction.
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The main idea of the proposed neuro-fuzzy system is conditional clustering whose main objective is to develop clusters preserving homogeneity of the clustered patterns with regard to their similarity in the input space as well as their respective values assumed in the output space. In the proposed neuro-fuzzy system, the structure identification is used with conditional fuzzy clustering, the parameter identification carried out by the hybrid learning scheme using back-propagation and total least squares.
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A linear chromosome combined with a grid-based representation of the network and a new crossover operator allow the evolution of the architecture and the weights simultaneously. In our approach there is no need for a separate weight optimization procedure and networks with more than one type of activation function can be evolved. In this paper one evolutionary' strategy of a given dual neural controller was introduced and the simulation results were described in detail through applications to a stabilization control of an Inverted Pendulum System.
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It is very difficult to maintain the desired tank level without overflow or shortage in a dangerous chemical plant. and a cooling one. Futhermore, because its dynamics are very complicate and nonlinear, the accurate mathematical model cannot be technique acquired and also their problems cannot be solved easily. In this paper, a RVEGA SMC for the robust control of a coupled tank level was proposed. The simulation results were very appreciative.
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Wavelet analysis is applying to many fields such as the time-frequency localization of a time series and a time varying data. In this paper, a statistical testing based Wavelet power spectrum analysis for the stationary Nino3 Sea Surface Temperature(SST) data was executed. Specially, the 95% confidence level for SST was effective in searching the periods of El-Nino using various wavelet basis functions.
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Until now, all of the port goods are transported by container transporter driven manually but recently there are a lot of researches about unmanned vehicle driven automatically. In this paper, we present a design of the TDOF PID controller using a hybrid schematic algorithm to control steering system. We used the ES and SA algorithms to construct hybrid tuning algorithm. Then the computer simulation shows that our proposed controller has better Performances than the other one.
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Recently PWM invertor is broadly used for control of induction motor. The invertor is able to generate sin wave current from high speed switching power device such as IGBT. However the invertor is disturbed by dead time inevitably needed to prevent a short of the DC link voltage, and the dead time mainly causes distortions of the output current. In this Paper the dead time compensation method which corrects the voltage error from dead time, and Min Max algorithm enlarging the operating voltage of PWM were Proposed. This method can be implemented by software programming without any additional hardware circuit. The proposed algorithms were implemented by DSP(TMS320C31, 40MHz) and FPGA(QL2007, Quick Logic) described in VHDL. and applied to 3 phase induction motor(2.2 KW) to show the superior performance
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This paper designs a ball and beam system using Coefficient Diagram Method (CDM). The ball and beam system is used in many undergraduate control classes to verify a control algorithm or for pure educational purposes. Recently CDM is known to be useful for designing a controller with relatively easy procedure and procedures a low order, no overshoot, and robust controller In this paper. CDM is applied to design a controller for the ball and beam system, and the controller is compared to that of LQG method. The result show that CDM gives better controller than LQG method.
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For active noise control system, one would choose one of two methods: Fixed control design and Adaptive filter design. Each one has its own advantages. But fixed controller design method prefer for active noise control in a small cavity system. In this paper, we design a controller for the small cavity system using CDM and compare controller using CDM with
$H{\infty}$ . The order of the resulting controller is lower than that of the robust$H{\infty}$ design, which means CDM will be more prefer for implementation purpose designs. -
In this Paper, speed controller design for disturbance system is explained robust control for disturbance. This paper usig CDM. It has highest sensitivity in plant variation and disturbance. After that computer simulation were executed to confirm ability of compared with PID controller.
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Using neural network approach, the diagnosis of faults in industrial process that requires observing multiple data simultaneously are studied in this paper. Two-stage diagnosis is proposed as the basic structure. The first stage detects the dynamic trend of each measurements and the second stage diagnosis the faults. This paper makes up for the disadvantage of neural about unknown faults. The potential of this approach is demonstrated in simulation using a model of tank reactor.
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This study proposed a new algorithm to assess autonomic function activity using Time-Frequency Representation(TFR). TFR is a way of describing the time-valiant energy of a signal. A discrete Wigner representation that is capable of filtering out any cross terms occuring in the Wigner-Ville Distribution(WVD) is used for time-variant energy distribution of heart rate variability(HRV) signals. And the marginal condition are evaluated to estimate power spectrum of HRV signals. The proposed algorithm showed that estimated power spectrum of HRV signals well describe the autonomic nerve system function and also showed the dynamics of autonomic nervous system response.
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In this paper, we proposed complex demodulation method(CDM) to visualize the instantaneous frequency change of LF component and HF component of HRV signals, which represent the dynamics of sympathetic and parasympathetic (vagal) tone, respectively. As we know the range of the center frequencies of each autonomic tones, we could apply complex demodulation method. To simulate the heart rate variability signal, the IFPM model was adopted for generation of simulated cardiac event series. Then, we can visualize and access the dynamic changes of LF and HF component of autonomic tones in the time-frequency domain.
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국내 제조업체의 기술발달로 인해 각 산업계의 모듈 및 시스템에 대한 차체 개발과 더불어 이전 외국업체에 의해 설계된 시스템들에 대한 국산화가 많이 이루어지고 있다. 신뢰성평가에 있어서도 예전부터 수행하고 있는 부품단위의 시험평가와 더불어 최근에는 모듈 류에 대한 시험평가요구가 증가하고 있으며 특히, 이들 개발 모듈류에 대한 신뢰성확보를 위해 가속수명시험(ALT)과 초기고장을 가려내기 위한 번인(Burn-In)시험이 많이 행해지고 있다. 이들 시험을 위해서는 장시간에 걸쳐 그 모듈류의 기능을 점검하고 모니터링 할 수 있는 측정자동화 시스템이 필수적이다. 본 연구에서는 이런 측정 자동화시스템 제작에 관련된 내용을 기술하고 실제 적용 사례를 제시하여 모듈류의 가속수명시 기능점검에 대해 논하였다.
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The aim of this paper is to suggest a design method of the optimal multivariable
$H_{\infty}$ control system using genetic algorithm(GA). This$H_{\infty}$ control system is designed by applying GA to the optimal determination of weighting functions and design parameter${\gamma}$ that are given by Glover-Doyle algorithm which can design$H_{\infty}$ controller in the state space. The effectiveness of this$H_{\infty}$ control system is verified by nonlinear simulation. -
HMC has developed the lean burn system with alpha 4-valve into domestic market in the end of 1997. In a viewpoint of saving energy and prevention of global warming (CO2 reduction), the lean burn system has recently attracted a considerable attentions in gasoline engines. There has been, however, difficulty in extending LML(Lean Misfire Limit) enough to meet the emission regulations and satisfaction of driveability. In this paper some descriptions will be given upon the new technology of lean bum engine which will be installed in Accent, especially the improvement of the combustion, the development of engine management system such as intake system and wide range air fuel control strategy, and the result of vehicle test.
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Recently, there is a strong need of DVD (Digital Versatile Disk) system of high density. high speed, and high accuracy System performances mostly depend on not only optical system, but also servo technology to drive it. Therefore, we investigate main technology concerned with optical pick-up unit based on 4.7GB DVD-RAM and analyzes technology of optical and servo systems that are required for high density high speed and high accuracy from the viewpoint of control. And then, we design a linear controller based on specification of 4.7GB DVD-RAM that is commercially available now. We analyze the dynamic characteristics of optical system that is coupled with control system and verify effect on performance indices of servo due to Parameter variation of pick-up by simulation. Finally, we will propose controller design specifications and provide direction of technical development for servo system and problems coupled with high capacity for 15GB level in the future.
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In this paper, a real-time communication method using a PICNET-NP(Plant Instrumentation and Control Network for Nuclear Power plant) is proposed with an analysis of the control network requirements of DCS (Distributed Control System) in nuclear power plants. The method satisfies deadline in case of worst data traffics by considering aperiodic and periodic real-time data and others. In addition, the method was used to analyze the data characteristics of the DCS in existing nuclear power plant. The result shows that use of this method meets the response time requirement(100ms)
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In this paper we present 2-dimensional image recovery method using Hadamard transform. Generally, the methods of Hadamard transform are more useful tools and much simplier than those of Fourier transform. The Hadamard transform can improve estimates when the detector is the source of noise. We take into account nonidealities in the system for the further improved image We also present the average mean square error(AMSE) associated with estimates with the results from computer simulations.