Hybrid Intelligent Control for Speed Control of IPMSM Drive

IPMSM 드라이브의 속도제어를 위한 하이브리드 지능제어

  • Lee Young-Sil (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.) ;
  • Kim Jong-Kwan (School of Information & Communication Engineering, Sunchon National Univ.) ;
  • Chung Dong-Hwa (School of Information & Communication Engineering, Sunchon National Univ.)
  • 이영실 (순천대학교 공과대학 정보통신공학부) ;
  • 이정철 (순천대학교 공과대학 정보통신공학부) ;
  • 이홍균 (순천대학교 공과대학 정보통신공학부) ;
  • 남수명 (순천대학교 공과대학 정보통신공학부) ;
  • 김종관 (순천대학교 공과대학 정보통신공학부) ;
  • 정동화 (순천대학교 공과대학 정보통신공학부)
  • Published : 2004.07.14

Abstract

This paper considers the design and implementation of novel technique of speed estimation and control for IPMSM using hybrid intelligent control. The hybrid combination of neural network and adaptive fuzzy control will produce a powerful representation flexibility and numerical processing capability. Also, this paper is proposed speed control of IPMSM using adaptive neural network fuzzy(A-NNF) and estimation of speed using artificial neural network(ANN) controller. This paper is proposed the theoretical analysis as well as the simulation results to verify the effectiveness of the new hybrid intelligent control.

Keywords