• 제목/요약/키워드: fuzzy PI

검색결과 352건 처리시간 0.032초

$\alpha$-레벨 퍼지집합 분해에 의한 직류 서보제어용 퍼지 PI+PD 로직회로 구현 (Implemented of Fuzzy PI+PD Logic circuits for DC Servo Control Using Decomposition of $\alpha$-level fuzzy set)

  • 홍정표;원태현;정종원;이영수;이상무;홍순일
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2008년도 하계학술대회 논문집
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    • pp.127-129
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    • 2008
  • This paper describes a method of approximate reasoning for fuzzy control of servo system, based on decomposition of -level fuzzy sets. It is propose that logic circuits for fuzzy PI+PD are a body from fuzzy inference to defuzzificaion in cases where the output variable u directly is generated PWM. The effectiveness for robust and faster response of the fuzzy control scheme is verified for a variable parameter by comparison with a PID control and fuzzy control. A position control of DC servo system with a fuzzy logic controller successfully demonstrated.

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자동차용 연소식 프리히터의 온도제어를 위한 퍼지 제어기 설계 (Fuzzy Controller design of fuel fired heater for vehicle to control temperature)

  • 정원근;이한욱;이상준;김주호;김광열;조원래;이건기
    • 한국정보전자통신기술학회논문지
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    • 제2권4호
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    • pp.29-36
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    • 2009
  • 본 논문은 버스에 사용되는 연소식 프리히터(Fuel Fired Heater) 퍼지 제어기(Fuzzy controller)를 설계하였다. 프리 히터는 얼마나 빠른 시간 안에 설정한 온도에 다다르는지와 공간내의 온도 편차가 얼마나 작게 발생하는지의 두 가지가 가장 중요한 요소이다. 기존의 연소식 프리히터의 온도 제어 방식으로 사용된 PI 제어기의 온도편차를 줄임과 동시에 응답특성을 개선한 퍼지 제어기를 설계하여 그 성능을 평가하였다. 설계된 퍼지 제어기에서 온도를 설정하면 기존의 PI 제어방식에서는 $25^{\circ}C$의 도달시간이 12분 소요되었으나 퍼지 제어방식에서는 9분 20초 소요되어 기존의 제어기보다 퍼지제어기가 2분 40초의 빠른 응답 성능으로 향상됨을 확인하였다. 난방의 온도 편차에서도 기존의 PI 제어 방식에서는 $2.4^{\circ}C$의 편차를 보인 반면 설계된 퍼지 제어기에서는 $1.6^{\circ}C$로 온도 편차 또한 개선되었음을 확인하였다.

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퍼지 PI 제어기를 이용한 풍력/디젤 하이브리드 발전시스템의 품질제어 (Power Quality Control of Wind/Diesel Hybrid Power Systems Using Fuzzy PI Controller)

  • 양수형;고정민;부창진;강민제;김정욱;김호찬
    • 한국태양에너지학회 논문집
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    • 제32권5호
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    • pp.1-10
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    • 2012
  • This paper proposes a modeling and controller design approach for a wind-diesel hybrid system including dump load. Wind turbine depends on nature such as wind speed. It causes power fluctuations of wind turbine. Excessive power fluctuation at stand-alone power grid is even worse than large-scale power grid. The proposed control scheme for power quality is fuzzy PI controller. This controller has advantages of PI and fuzzy controller. The proposed model is carried out by using Matlab/Simulink simulation program. In the simulation study, the proposed controller is compared with a conventional PI controller. Simulation results show that the proposed controller is more effective against disturbances caused by wind speed and load variation than the PI controller, and thus it contributes to a better quality wind-diesel hybrid power system.

퍼지-PI 제어기법을 이용한 유도전동기의 벡터제어 (Speed Control of a Vector Controlled Induction Motor using Fuzzy-PI controller)

  • 이동빈;유창완;홍대승;고재호;임화영
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2000년도 하계학술대회 논문집 D
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    • pp.2464-2466
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    • 2000
  • When linear PI controller is used in speed control of induction motor, there happen some weaks which is very difficult to find optimal control gain at time of changing speed and load. In this paper, Fuzzy system incorporated with PI controller is proposed in order to that defects. PI gain is calculated by theoretical basis and fuzzy control is translated human expert's knowledge and experiences into rules numerically. Also it modifies and compensates PI gains in realtime. As comparing the motor characteristics of proposed fuzzy-PI speed controller to PI speed controller of a Vector controlled induction motor system in the increasing load torque and speed change during start and stop, The simulation results show robust and good performance.

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Fuzzy PI를 이용한 유도전동기의 제어 (A Controller Design for an Induction Motor Using Fuzzy PI)

  • 박성훈;고창민;이현석;박승규;안호균
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2009년도 제40회 하계학술대회
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    • pp.1725_1726
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    • 2009
  • The purpose for this paper is to obtain the ��$H_{\infty}$ LMI with fuzzy PI controller for induction motor which is nonlinear system. The controller type is PI and the control gains are obtained based on $H_{\infty}$ control problem. The PI controller is considered a part of a plant and the problem is changed to get controller with static gains. The nonlinear system is approximated as several linear systems and combined by using fuzzy technique.

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피지적응 메카니즘을 이용한 IPMSM의 HBPI 제어기 (HBPI Controller of IPMSM using fuzzy adaptive mechanism)

  • 이정호;최정식;고재섭;김종관;박기태;박병상;정동화
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2006년도 심포지엄 논문집 정보 및 제어부문
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    • pp.210-212
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    • 2006
  • This paper presents Hybrid PI(HBPI) controller of IPMSM drive using fuzzy adaptive mechanism control. In general, PI controller in computer numerically controlled machine process fixed gain. They may perform well under some operating conditions, but not all. To increase the robustness, fixed gain PI controller, HBPI controller proposes a new method based self tuning PI controller. HBPI controller is developed to minimize overshoot and settling time following sudden parameter changes such as speed, load torque, inertia, rotor resistance and self inductance. The results on a speed controller of IPMSM are presented to show the effectiveness of the proposed gain tuner. And this controller is better than the fixed gains one in terms of robustness, even under great variations of operating conditions and load disturbance.

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BLDC 모터의 부하특성기선을 위한 하이브리드형 퍼지 PI 속도 제어기 (Design of a Hybrid fuzzy PI Speed Controller For Improving The Load Characteristic of a BLDC Motor)

  • 오준태;김용;백수현;조규만;이규훈
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2002년도 추계학술대회 논문집 전기기기 및 에너지변환시스템부문
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    • pp.228-231
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    • 2002
  • This paper describes the design and experimental verification of a hybrid fuzzy control system for a BLDC motor drive. The principle of the proposed control system is to use a PI controller which performs satisfactorily in most cases, while a fuzzy controller, which is ready to take over the PI controller. is used when severe perturbations occur. Thus. the PI and fuzzy controller can be managed to take advantage of their positive attributes.

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퍼지 적응 메카니즘을 이용한 유도전동기의 HBPI 제어기 (HBPI Controller of Induction Motor using Fuzzy Adaptive Mechanism)

  • 남수명;이홍균;정동화
    • 대한전기학회논문지:전기기기및에너지변환시스템부문B
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    • 제54권8호
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    • pp.395-401
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    • 2005
  • This paper presents Hybrid PI(HBPI) controller of induction motor drive using fuzzy control. In general, PI controllers used in computer numerically controlled machines process fixed gain. They may perform well under some operating conditions, but not all. To increase the robustness of fixed gain PI controller, HBPI controller proposes a new method based self tuning PI controller. HBPI controller is developed to minimize overshoot and settling time following sudden parameter changes such as speed, load torque, inertia, rotor resistance and self inductance. The results on a speed controller of induction motor are presented to show the effectiveness of the proposed gam tuner. And this controller is better than the fixed gains one in terms of robustness, even under great variations of operating conditions and load disturbance.

PI 및 PD Type Fuzzy Controller의 자기동조에 관한 연구 (A study on self tuning fuzzy PI and PD type controller)

  • 이상석
    • 한국산업융합학회 논문집
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    • 제3권1호
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    • pp.3-8
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    • 2000
  • This paper describes a development of self tuning scheme for PI and PO type fuzzy controllers. The output scaling factor(SF) is adjusted on-line by fuzzy rules according to the current trend of the controlled process. The rule-base for tuning the output SF is defined on error and change of error for the controlled variable using the most natural and unbiased membership functions. Simulation results demonstrate the better control performance can be achieved in comparison with Ziegler-Nichols(Z-N) PID controllers.

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BLDC 모터의 속도 제어를 위한 퍼지 PI 제어기 설계 (Design of a Fuzzy PI Controller for the Speed Control of BLDC Motor)

  • 송승준;김용;이승일;이은영;김필수;조규만
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2001년도 하계학술대회 논문집 B
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    • pp.1147-1150
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    • 2001
  • This paper represents a realization of a fuzzy PI control method for a speed control of BLDC motor. In other words, the gains of the PI controller is tuned by a fuzzy logic controller. Simplified reasoning methods are used for fuzzy reasoning. Fuzzy logic speed controller is designed by using the high performance of DSPchip(TMS320F240). By experiment, it is confirmed that the speed of BLDC motor well follows an command speed in the load variables or speed variables.

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