A novel fuzzy sliding-mode structure has been proposed for the model reference adaptive system(MRAS) based sensorless control of an induction motor in this paper. The design includes a hybrid MRAS from measured stator terminal voltages and currents. The estimated speed is used as feedback in an indirect vector control system achieving the speed control without using shaft mounted transducers. Fuzzy sliding-mode structure includes two nonlinear controllers, one of which is sliding mode type and the other is PI-fuzzy logic based controller, the latter define a new control structure. Both controllers are combined by means of an expert system based on Takagi-Sugeno fuzzy reasoning. The sliding mode controller acts in the steady state. The new structure has two advantages: sliding-mode controller increasing system stability and PI-like fuzzy logic based controller reducing the chattering in permanent state. The scheme has been implemented and experimentally validated.
목차
Abstract 1. Introduction 2. Hybrid Model Reference Adaptive System 3. Speed Sensorless Induction Motor Model 3.1. SLMC 3.2. PI-Like Fuzzy Controller(PI-FLBC) 3.3. Fuzzy Supervisory System 4. Experiment Conclusion Acknowledgements References
키워드
Model Reference Adaptive SystemFuzzy Sliding ModeInduction Motor
저자
Yue Yuntao [ Beijing University of Civil Engineering and Architecture, Beijing 100044, China, Beijing University of Aeronautics and Astronautics, Beijing 100083, China ]
Lin Yan [ Beijing University of Aeronautics and Astronautics, Beijing 100083, China ]
보안공학연구지원센터(IJCA) [Science & Engineering Research Support Center, Republic of Korea(IJCA)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Control and Automation
간기
월간
pISSN
2005-4297
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Control and Automation Vol.8 No.9