Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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Development of Self-Tuning and Adaptive Fuzzy Controller to Control Induction Motor Drive

유도전동기 드라이브의 제어를 위한 자기동조 및 적응 퍼지제어기 개발

  • Ko, Jae-Sub (School of Information & Communication Engineering, Sunchon National Univ.) ;
  • Choi, Jung-Sik (School of Information & Communication Engineering, Sunchon National Univ.) ;
  • Jung, Chul-Ho (School of Information & Communication Engineering, Sunchon National Univ.) ;
  • Kim, Do-Yeon (School of Information & Communication Engineering, Sunchon National Univ.) ;
  • Jung, Byung-Jin (School of Information & Communication Engineering, Sunchon National Univ.) ;
  • Chung, Dong-Hwa (School of Information & Communication Engineering, Sunchon National Univ.)
  • 고재섭 (순천대학교 공과대학 정보통신공학부) ;
  • 최정식 (순천대학교 공과대학 정보통신공학부) ;
  • 정철호 (순천대학교 공과대학 정보통신공학부) ;
  • 김도연 (순천대학교 공과대학 정보통신공학부) ;
  • 정병진 (순천대학교 공과대학 정보통신공학부) ;
  • 정동화 (순천대학교 공과대학 정보통신공학부)
  • Published : 2009.04.23
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Abstract

The field oriented control of induction motors is widely used in high performance applications. However, detuning caused by parameter disturbance still limits the performance of these drives. In order to accomplish variable speed operation, conventional PI-like controllers are commonly used. These controllers provide limited good Performance over a wide range of operation, even under ideal field oriented conditions. This paper is proposed model reference adaptive fuzzy control(MFC) and artificial neural network(ANN) based on the vector controlled induction motor drive system. Also, this paper is proposed control of speed and current using fuzzy adaption mechanism(FAM), MFC and estimation of speed using ANN. The proposed control algorithm is applied to induction motor drive system using FAM, MFC and ANN controller. Also, this paper is proposed the analysis results to verify the effectiveness of this controller.

Keywords