• 조명전기설비학회논문지
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• 제25권5호
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• pp.22-33
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• 2011

An induction motor operated with a conventional direct self controller(DSC) shows a sluggish response during startup and under changes of torque command. Fuzzy logic controller(FLC) is used in conjection with DSC to minimize these problems. A FLC chooses the switching states based on a set of fuzzy variables. Flux position, error in flux magnitude and error in torque are used as fuzzy state variables. Fuzzy rules are determinated by observing the vector diagram of flux and currents. This paper proposes hybrid fuzzy controller for direct torque control(DTC) of induction motor drives. The speed controller is based on adaptive fuzzy learning controller(AFLC), which provide high dynamics performances both in transient and steady state response. Flux position, error in flux magnitude and error in torque are used as FLC state variables. The speed is estimated with model reference adaptive system(MRAS) based on artificial neural network(ANN) trained on-line by a back-propagation algorithm. This paper is controlled speed using hybrid fuzzy controller(HFC) and estimation of speed using ANN. The performance of the proposed induction motor drive with HFC controller and ANN is verified by analysis results at various operation conditions.

• Journal of Power Electronics
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• 제11권2호
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• pp.218-227
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• 2011

The subject of variable step size maximum power point tracking (MPPT) algorithms has been addressed in the literature. However, most of the addressed algorithms tune the variable step size according to two variables: the photovoltaic (PV) array voltage ($V_{PV}$) and the PV array current ($I_{PV}$). Therefore, both the PV array current and voltage have to be measured. Recently, maximum power point trackers that arc based on a single variable ($I_{PV}$ or $V_{PV}$) have received a great deal of attention due to their simplicity and ease of implementation, when compared to other tracking techniques. In this paper, two methods have been proposed to design a variable step size MPPT algorithm using only a single current sensor for stand-alone battery storage PV systems. These methods utilize only the relationship between the PV array measured current and the converter duty cycle (D) to automatically adapt the step change in the duty cycle to reach the maximum power point (MPP) of the PV array. Detailed analyses and flowcharts of the proposed methods are included. Moreover, a comparison has been made between the proposed methods to investigate their performance in the transient and steady states. Finally, experimental results with field programmable gate arrays (FPGAs) are presented to verify the performance of the proposed methods.

• Journal of Electrical Engineering and Technology
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• 제6권5호
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• pp.595-604
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• 2011

A three-phase three-level shunt active filter controlled by fuzzy logic current controller which can compensate current harmonics generated by nonlinear loads is presented. Three-level inverters and fuzzy controllers have been successfully employed in several power electronic applications these past years. To improve the conventional pwm controller performance, a new control scheme based on fuzzy current controller is adopted for three-level (NPC) shunt active filter. The scheme is designed to improve compensation capability of APF by adjusting the current error using a fuzzy rule. The inverter current reference signals required to compensate harmonic currents use the synchronous reference detection method. This technique is easy to implement and achieves good results. To maintain the dc voltage across capacitor constant and reduce inverter losses, a proportional integral voltage controller is used. The simulation of global system control and power circuits is performed using Matlab-Simulink and SimPowerSystem toolbox. The results obtained in transient and steady states under various operating conditions show the effectiveness of the proposed shunt active filter based on fuzzy current controller compared to the conventional scheme.

• 한국컴퓨터산업학회논문지
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• 제2권4호
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• pp.547-564
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• 2001

본 논문에서는 EPRCA(Enhanced Proportional Rate Control Algorithm) 스위치 방식과 EMRCA(Explicit Max_min Rate Control Algorithm) 스위치 방식의 성능을 평가하기 위하여 시뮬레이션을 수행하였다. 시뮬레이션의 평가 기준으로 과도상태와 정상상태에서 각 송신원에서의 전송률(ACR)의 변화, 큐 길이, 링크 대역폭 이용률과 전송률의 공평성 여부를 사용하였다. 실험 결과 EMRCA 스위치 방식은 EPRCA 스위치 방식보다 더 안정적이며 스위치의 버퍼 크기도 줄였으며 더 높은 링크 이용률을 보였다. 이 방식은 스위치에서 MACR(Mean Allowed Cell Rate)의 계산을 위한 부동소수점 연산을 제거하여 EPRCA 스위치 방식이나 기존의 다른 폭주 제어 방식들보다 훨씬 낮은 하드웨어 복잡도를 갖는다.

• 전기학회논문지
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• 제60권9호
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• pp.1700-1707
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• 2011

Interior permanent magnet synchronous motor(IPMSM) adjustable speed drives offer significant advantages over induction motor drives in a wide variety of industrial applications such as high power density, high efficiency, improved dynamic performance and reliability. Since the fuzzy neural network(FNN) is recognized general approximate method to control non-linearities and uncertainties, the development of FNN control systems have also grown rapidly. The FNN controller is compounded of fuzzy and neural network. It has an advantage that is the robustness of fuzzy control and the ability to adapt of neural network. However, the FNN has static problem due to their feed-forward network structure. This paper proposes high performance speed control of IPMSM drive using the recurrent FNN(RFNN) which improved conventional FNN controller. The RFNN has excellent dynamic response characteristics because of it has internally feed-back structure. Also, this paper proposes speed estimation of IPMSM drive using ANN. The proposed method is analyzed and compared to conventional FNN controller in various operating condition such as parameter variation, steady and transient states etc.

• Journal of Advanced Marine Engineering and Technology
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• 제40권5호
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• pp.389-396
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• 2016

The theory of Fourier heat conduction predicts accurately the temperature profiles of a system in a non-equilibrium steady state. However, in the case of transient states at the nanoscale, its applicability is significantly limited. The limitation of the classical Fourier's theory was overcome by C. Cattaneo and P. Vernotte who developed the theory of non-Fourier heat conduction in 1958. Although this new theory has been used in various thermal science areas, it requires considerable mathematical skills for calculating analytical solutions. The aim of this study was the identification of a newer and a simpler type of solution for the hyperbolic partial differential equations of the non-Fourier heat conduction. This constitutes the first trial in a series of planned studies. By inspecting each term included in the proposed solution, the theoretical feasibility of the solution was achieved. The new analytical solution for the non-Fourier heat conduction is a simple exponential function that is compared to the existing data for justification. Although the proposed solution partially satisfies the Cattaneo-Vernotte equation, it cannot simulate a thermal wave behavior. However, the results of this study indicate that it is possible to obtain the theoretical solution of the Cattaneo-Vernotte equation by improving the form of the proposed solution.

• 대한산업공학회지
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• 제31권1호
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• pp.87-98
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• 2005

This research investigates economic-statistical characteristics of variable sampling size and interval (VSSI)$\bar{X}$charts under two assignable causes. A Markov chain approach is employed in order to calculate average run length (ARL) and average time to signal (ATS). Six transient states are derived by carefully defining the state. A steady state cost rate function is constructed based on Lorenzen and Vance(1986) model. The cost rate function is optimized with respect to six design parameters for designing the VSSI $\bar{X}$ charts. Computational experiments show that the VSSI $\bar{X}$ chart is superior to the Shewhart $\bar{X}$ chart in the economic-statistical sense, even under two assignable causes. A comparative study shows that the cost rate may increase up to almost 30% by overlooking the second cause. Critical input parameters are also derived from a sensitivity study and a few guideline graphs are provided for determining the design parameters.

• 한국연소학회지
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• 제5권2호
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• pp.19-27
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• 2000

A turbulent combustion model, based on edge flame dynamics, is discussed in order to predict global extinction of turbulent flames. The model is applicable to the broken flamelet regime of turbulent combustion, in which global extinction of turbulent flame is achieved by gradual expansion of flame holes. The edge flame dynamics is the key mechanism to describe the flame hole expansion or contraction. For flames with Lewis numbers near unity, there is a $Damk{\ddot{o}}hler$ number, namely the crossover $Damk{\ddot{o}}hler$ number, at which edge flame changes its direction of propagation. The parametric region between the quasi-steady extinction condition and the edge-flame crossover condition is a metastable region, in that flames without edge can stay in their burning states while flames with edge have to retract to expand quenching holes. Using the above properties of edge flame, Hartley and Dold proposed a Lagrangian hole dynamics, which allows us to simulate transient variation of quenching holes. In their model, each stoichiometric surface is subjected to a random sequence of scalar dissipation rate compatible to the equilibrium turbulence. Then, each stoichiometric surface will evolve, according to the combustion map, dependent on the scalar dissipation rate and existence of flame edge, If all the burning surfaces are annihilated, the event can be declared as a global extinction. The consequence obtained from the above model also can be used as a subgrid model to determine local extinction occurring in a calculation grid.

• 한국통신학회논문지
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• 제25권1A호
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• pp.142-155
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• 2000

본 논문에서는 VBR MPEG 비디오 트래픽의 마코프 모델 기반 트래픽 기술자에 대해 효과적인 policing 방법을 제안한다. VBR 비디오 스퀀스에 대해 보다 효율적이고 정확한 자원할당 및QoS 예측을 위해 장면기반 마코프 모델을 이용한 트래픽 기술자를 사용하여 망에 그 트래픽 특성를 기술하고, 망에서는 이를 근거로 제안된 새로운 policing 알고리즘을 이용하여 모니터링을 수행한다. 마코프 모델의 안정상태 천이확률의 감시를 위해 장면상태 마다 대표성을 갖는 두 가지 감시 파라미터(평균 체류시간 및 평균 회귀시간)를 정의하여 이를 누적 평균의 형태로 모니터링 한다. 또한 장면상태의 프레임 타입별 평균 셀 발생률도 누적 평균을 이용하여 안정상태 값과 비교된다. Transient 구간에서의 변이를 고려하여 지수함수를 이용한 bounding 방법을 제시하였고, 이는 실제 비디오 시퀀스에 잘 맞는 것을 알 수 있다. 실험결과 미코프 모델 기반 트래픽 기술자에 대해 제안된 방법은 MPEG 비디오와같은 매우 복잡한 트래픽에 대해서도 효과적인 모니터링이 가능하며 부적합 트래픽에 대해서도 좋은 감시성능을 보임을 알 수 있다.

• 지질공학
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• 제3권2호
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• pp.149-165
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• 1993

지하매질의 유동특성을 알기 위한 직접적인 방법은 아직도 현장수리시험에 의존하고 있다. 열극암반에서 유동모델의 개념정립을 위하여는 열극체계분포와 특히, 수리시험해석결과가 중요시되고 있다. 국내에서 수행되고 있는 수리시험은 조사공구간별에 따른 수리전도도를 방사상의 정상류로 가정하여 결과를 해석하고 있다. 또한 시험대상 매질을 균질한 대수층 또는 단순한 기하학적 형태의 매질로 간주하며 구간별 투수량계수는 시험구간을 가로지르는 각 열극의 투수량계수의 합과 같다고 가정한다. 국내 기존의 수리시험 및 해석방법으로는 수리학적 경계면의 영향(boundary effects)이나 유동로의 기하학적 형태(flow geometry)에 대한 자료를 얻기가 힘들며, 일정한 조사공 주변을 벗어나면 투수성열극의 연결성에 대한 정보를 구할 수 없다. 열극특성을 고려한 지하수유동 해석을 위하여 단일공 정압주입시험을 실시하였으며, 비정상류해석방법을 통하여 유동차원(flow dimension)에 대한 분석을 시도하였다. 시추시에는 단일패커시험을 일정구간별로 시행하였으며, 조사공의 시추후에는 이중패커에 의한 구간별 시험을 실시하였다. 비정상류해석으로 구한 수리전도도값은 정상류해석의 결과와 큰 차이(10배 이내)는 없었으나, 정압하에서 도출된 유동량변화곡선에서 유동차원분석이 가능하였다. 상부구간(<10m 깊이)의 단일 및 이중패커시험결과는 모두 정상류의 유동차원이 나타났으며, 이는 영향반경의 경계면이 open system임을 알 수 있다. 15m 깊이에서 도출된 유동량변화곡선은 1차원 유동상태에서 3차원(구상유동)으로 변화하였다. 하부구간(25m 깊이)의 시험결과는 closed system 특성이 관찰되었으며, 이는 조사구간에서 연결된 열극이 수리적으로 격리되어 있음을 알 수 있다. 현장수리시험으로부터 보다 많은 자료를 도출하기 위하여는 무엇보다도 수리시험장비의 보완이 필요하다. 특히 조사구간을 완벽하게 분리할 수 있는 패커장비와 미세한 유동량변화를 계측할 수 있는 유량계의 확보가 필수적이며, 조사구간의 압력변화를 자동기록할 수 있는 계측기기가 필요하였다.