Proceedings of the KIPE Conference (전력전자학회:학술대회논문집)

The Korean Institute of Power Electronics (전력전자학회)
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MTPA Control of Induction Motor Drive using Fuzzy-Neural Networks Controller

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  • Lee, Hong-Gyun (School of Information & Communication Engineering, Sunchon National Univ.) ;
  • Nam, Su-Myeong (School of Information & Communication Engineering, Sunchon National Univ.) ;
  • Choi, Jung-Sik (School of Information & Communication Engineering, Sunchon National Univ.) ;
  • Ko, Jae-Sub (School of Information & Communication Engineering, Sunchon National Univ.) ;
  • Chung, Dong-Hwa (School of Information & Communication Engineering, Sunchon National Univ.)
  • 이홍균 (순천대학교 공과대학 정보통신공학부) ;
  • 남수명 (순천대학교 공과대학 정보통신공학부) ;
  • 최정식 (순천대학교 공과대학 정보통신공학부) ;
  • 고재섭 (순천대학교 공과대학 정보통신공학부) ;
  • 정동화 (순천대학교 공과대학 정보통신공학부)
  • Published : 2005.07.04
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Abstract

In this paper, we propose fuzzy-neural network controller that combines a fuzzy control and the Neural Networks for high performance control of induction motor drive, Also, this paper is proposed control of maximum torque per ampere of induction motor. This strategy is proposed which is simple in structure and has the honest goal of minimizing the stator current magnitude for given load torque. The performance of the proposed induction motor drive with maximum torque control using fuzzy-neural network controller is verified by simulation at dynamic operation conditions.

Keywords