Sensorless Control of Induction Motor Using Fuzzy-Neural Network

퍼지-신경회로망을 이용한 유도전동기의 센서리스 제어

  • Nam, Su-Myeong (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.) ;
  • Lee, Young-Sil (School of Information & Communication Engineering, Sunchon National Univ.) ;
  • Chung, Dong-Hwa (School of Information & Communication Engineering, Sunchon National Univ.)
  • 남수명 (순천대학교 공과대학 정보통신공학부) ;
  • 이정철 (순천대학교 공과대학 정보통신공학부) ;
  • 이홍균 (순천대학교 공과대학 정보통신공학부) ;
  • 이영실 (순천대학교 공과대학 정보통신공학부) ;
  • 정동화 (순천대학교 공과대학 정보통신공학부)
  • Published : 2004.04.22

Abstract

This paper is proposed a fuzzy neural network controller 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 ANN Controller. 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 theoretical analysis as well as the simulation results to verify the effectiveness of the new method.

Keywords