Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
권호 표지

Estimation and Control of Speed of Induction Motor using Fuzzy and Neural Network

퍼지와 신경회로망을 이용한 유도전동기의 속도 추정 및 제어

  • Choi, Jung-Sik (School of Information & Communication Engineering, Sunchon National Univ.) ;
  • Lee, Jung-Chul (School of Information & Communication Engineering, Sunchon National Univ.) ;
  • Lee, Hong-Gyun (School of Information & Communication Engineering, Sunchon National Univ.) ;
  • Nam, Su-Myeong (School of Information & Communication Engineering, Sunchon National Univ.) ;
  • Ko, Jae-Sub (School of Information & Communication Engineering, Sunchon National Univ.) ;
  • Kim, Jong-Hwan (School of Information & Communication Engineering, Sunchon National Univ.) ;
  • Chung, Dong-Hwa (School of Information & Communication Engineering, Sunchon National Univ.)
  • 최정식 (순천대학교 공과대학 정보통신공학부) ;
  • 이정철 (순천대학교 공과대학 정보통신공학부) ;
  • 이홍균 (순천대학교 공과대학 정보통신공학부) ;
  • 남수명 (순천대학교 공과대학 정보통신공학부) ;
  • 고재섭 (순천대학교 공과대학 정보통신공학부) ;
  • 김종관 (순천대학교 공과대학 정보통신공학부) ;
  • 정동화 (순천대학교 공과대학 정보통신공학부)
  • Published : 2005.04.28
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Abstract

This paper is proposed a fuzzy control and neural network 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 estimation and control 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. This paper is proposed the experimental results to verify the effectiveness of the new method.

Keywords