Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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ANN Sensorless Control of Induction Motor Drive with AFNN

AFNN 제어기에 의한 유도전동기 드라이브의 ANN 센서리스 제어

  • Ko, Jae-Sub (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.) ;
  • Park, Bung-Sang (School of information & Communication Engineering, Sunchon National Univ.) ;
  • Chung, Dong-Hwa (School of information & Communication Engineering, Sunchon National Univ.)
  • 고재섭 (순천대학교 공과대학 정보통신공학부) ;
  • 남수명 (순천대학교 공과대학 정보통신공학부) ;
  • 최정식 (순천대학교 공과대학 정보통신공학부) ;
  • 박병상 (순천대학교 공과대학 정보통신공학부) ;
  • 정동화 (순천대학교 공과대학 정보통신공학부)
  • Published : 2005.10.20
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Abstract

This paper is proposed adaptive fuzzy neural network(AFNN) and artificial neural network(ANN) based on the vector controlled induction motor drive system. The hybrid combination of fuzzy control and neural network will produce a powerful representation flexibility and numerical processing capability. Also, this paper is proposed control and estimation of speed of induction motor using fuzzy and neural network. The back propagation neural network technique is used to provide a real time adaptive estimation of the motor speed. The error between the desired state variable and the actual one is back-propagated to adjust the rotor speed. so that the actual state variable will coincide with the desired one. This paper is proposed the experimental results to verify the effectiveness of the new method.

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