• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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• pp.184-187
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• 1996

In this paper, an algorithm for tuning gains of a PID controller is proposed. The proposed algorithm is composed of two stages. The first is a stage for Lyapunov function-based initial stabilization of an overall system and rough tuning gains of the PID controller. The other is that for fine tuning gains of the PID controller. All tunings are performed by using the well-known fuzzy logic-based tuner. The computer simulations are performed to show the validity of the proposed algorithm and results are presented.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.825-829
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• 2005

This paper presents an approach for designing a fuzzy logic-based adaptive SVC damping In controller for damping low frequency power oscillations. Power systems are often subject to low Frequency electro-mechanical oscillations resulting from electrical disturbances. Generally, power system stabilizers are designed to provide damping against this kind of oscillations. Another means to achieve damping is to design supplementary damping controllers that are equipped with SVC. Various approaches are available for designing such controllers, many of which are based on the concepts of damping torque and others which treat the damping controller design as a generic control problem and apply various control theories on it. In our proposed approach, linear optimal controllers are designed and then a fuzzy logic tuning mechanism is constructed to generate a single control signal. The controller uses the system operating condition and a fuzzy logic signal tuner to blend the control signals generated by two linear controllers, which are designed using an optimal control method. First, we design damping controllers for the two extreme conditions; the control action for intermediate conditions is determined by the fuzzy logic tuner. The more the operating condition belongs to one of the two fuzzy sets, the stronger the contribution of the control signal from that set in the output signal. Simulation studies done on a one-machine infinite-bus and a four-machine two-area test system, show that the proposed fuzzy adaptive damping SVC controller effectively enhances the damping of low frequency oscillations.

• 전자공학회논문지B
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• 제28B권11호
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• pp.941-954
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• 1991

The characteristics of a power plant changes as it operates for a long time and/or for different operating point. As a result, operators must retune gains of the controllers for better performance. In fact, skilled operators can retune the gains in reference to recorded data obtained by a test called dynamic test. The dynamic test, however, requires much time, and can be heavy burden for operators. In this paper, an expert knowledge-based auto-tuner is designed for drum-type boiler controllers of a fossil power plant using fuzzy logic. The performance of the proposed auto-tuner is shown via computer simulation and the simulation results show that the proposed auto-tuner is satisfactory for the desired performance.

• 한국지능시스템학회논문지
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• 제5권3호
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• pp.64-72
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• 1995

본 논문에서는 공정제어계의 PI제어기의 이득을 동조하는 방법을 다룬다. 산업계에서 사용되고 있는 제어기는 PI형이고, 이의 이득은 숙련조업자에 의하여 시행착오법으로 조정되고 있다. 따라서 제어기의 동조에는 많은 시간과 노력이 소요되며 다중루프를 갖는 공정의 경우에는 동조하기가 매우 어려운 실정이다. 본 논문에서는 다루는 퍼지동조기는 아래와 같은 가정하에서 개발되었다. 제어기는 아나로그 PI제어기이고 플랜트의신호는 On-line으로 받지만 동조는 off-line에서 이루어진다. 또한 동조를 위한 특징량을 플랜트로 부터 얻을 수 있어야 한다. 동조 방법은 퍼지논리를 사용하였으며, 개발된 퍼지동조기는 공정의 현재신호와 과거의 상태를 보여주며 동조된 새로운 PI제어기의 이득값을 제시한다. 퍼지동조기는 현장에서 여러실험을 통하여 성능을 검증하였다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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• pp.704-707
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• 1997

In this paper, we present a fuzzy logic based tuner for continuous on-line tuning of PID controllers. The essential idea of the scheme is to parameterize a Ziegler-Nichols-like tuning formula by a singler parameter .alpha., then to use an on line fuzzy logic to self-tune the parameter. The adaptive scaling makes the controller robust against large variations in parametric and dynamics uncertainties in the plant model. New self-tuning controller has the ability to decide when to use PI or PID control by extracting process dynamics from relay experiments. These scheme lead to improved performance of the transient and steady state behavior of the closed loop system, including processes with nonminimum phase processes.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1991년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 22-24 Oct. 1991
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• pp.219-225
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• 1991

The characteristics of a power plant changes as it operates for a long time and/or for different operating points. As a result, operators must retune gains of the controllers for better performance. In fact, skilled operators can retune the gains in reference to recorded data obtained by a test called dynamic test. The dynamic test, however, requires much time, and can be heavy burden for operators. In this paper, an expert knowledge-based auto-tuner is designed for drum-type boiler controllers of a fossil power plant using fuzzy logic. The performance of the proposed auto-tuner is shown via computer simulation and the simulation results show that the proposed auto-tuner is satisfactory for the desired performance.

• Journal of Electrical Engineering and Technology
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• 제13권1호
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• pp.451-459
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• 2018

This work presents an approach for modeling of electric vehicle considering the vehicle dynamics, drive train, rotational wheel and load dynamics. The system is composed of IPMSM (Interior Permanent Magnet Synchronous Motor) coupled with the wheels through a drive train. Generally, IPMSM is controlled by ordinary PID controllers. Performance of the ordinary PID controller is not satisfactory owing to the difficulties of optimal gain selections. To overcome this problem, a new type of fuzzy logic gain tuner for PID controllers of IPMSM is required. Therefore, in this paper fuzzy logic based gain tuning method for PID controller is proposed and compared with some previous control techniques for the better performance of electric vehicle with an optimal balance of acceleration, speed, travelling range, improved controller quality and response. The model was developed in MATLAB/Simulink, simulations were carried out and results were observed. The simulation results have proved that the proposed control system works well to remove the transient oscillations and assure better system response in all conditions.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 하계종합학술대회 논문집 Ⅲ
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• pp.1295-1298
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• 2003

The steam generator level in a PWR is very difficult to control particularly at low power. And the constant control gain and time value are not adaptive in steam generator level controller. In normal operation constant control gain and time value have no problem. But there is problem at low power. So variable control gains based on the temperature are required. The best control gain is decided by the experienced knowledge. A fuzzy gain tuner is used for the gain tuning. In the design of fuzzy gain-tuner processing, the experienced knowledge is employed for making fuzzy rules.

• 대한환경공학회지
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• 제22권10호
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• pp.1905-1919
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• 2000

활성슬러지 공정에 기반을 둔 연속식반응기는 시스템이 가진 고유한 비선형성뿐만 아니라 계절, 기후 등의 환경변화에 따른 유입수의 유량 및 특성 등의 외부적인 조건의 변화를 고려하여 제어하여야 한다. 수학적 모델링 과정에서 고려하지 못했거나 무시되었던 부분을 포함한 시스템에 관련된 특징과 한정된 공간에서 기본적인 제어방법에 의한 현재의 운전방법을 고려하여 불 때 활성슬러지 공정은 개선할 수 있는 여지가 많다. 또한 숙련된 운전자의 지식을 구현할 수 있는 지능제어기법을 적용하여 전체적인 공정의 효율 향상을 도모할 수 있다. 제어방법의 적용에 앞서 제어대상공정인 활성슬러지 공정을 분석하여 이를 $Matlab^{(R)}5.3/Simulink^{(R)}3.0$을 이용하여 연속식반응기 모델을 구현하였다. IWA(International Water Association)와 COST(European Cooperation in the field of Scientific and Technical Research)에서 제시한 정상상태의 유입수 특성을 이용하여 모델의 정확성을 검증하였다. 본 논문에서는 이미 현장에서 사용중인 제어기법의 구현 및 성능 평가뿐만 아니라 다양한 고급제어기법들을 적용하여 새롭게 제안한 제어기법들이 실제 폐수처리장에 적용가능한지 여부를 검증하였다. 제어방법으로는 현장에서 일반적으로 사용되고 있는 비례-적분-미분제어기(Proportional-Integral-Derivative Controller; PID controller)와 PID제어기가 가진 장점과 퍼지 논리 제어기법이 가진 장점을 결합함과 동시에 제어기의 성능 향상 및 경제성을 높일 수 있는 퍼지 PID이득 조절기(fuzzy PID gain tuner)와 퍼지 셋포인트 변환기(fuzzy setpoint changer)를 적용하여 봄으로써 외란에 대해 강인한 제어기 설계의 가능성을 검증하였다.