Based FNN Space Vector PWM Control for High Performance Control of SynRM

SynRM의 고성능 제어를 위한 FNN 기반의 공간벡터 PWM제어

  • Kim, Do-Yeon (School of Information & Communication Engineering. Sunchon National Univ.) ;
  • Ko, Jae-Sub (School of Information & Communication Engineering. Sunchon National Univ.) ;
  • Choi, Jung-Sik (School of Information & Communication Engineering. Sunchon National Univ.) ;
  • Jung, Byung-Jin (School of Information & Communication Engineering. Sunchon National Univ.) ;
  • Chung, Dong-Hwa (School of Information & Communication Engineering. Sunchon National Univ.)
  • 김도연 (순천대학교 정보통신공학부) ;
  • 고재섭 (순천대학교 정보통신공학부) ;
  • 최정식 (순천대학교 정보통신공학부) ;
  • 정병진 (순천대학교 정보통신공학부) ;
  • 정동화 (순천대학교 정보통신공학부)
  • Published : 2008.10.31

Abstract

This paper is proposed a high performance speed control of the Synchronous Reluctance Motor through the FNN(Fuzzy Neural-Network) based SV-PWM(Space Vector PWM). SV-PWM is controlled using FNN control. SV-PWM can be maximum used maximum dc link voltage and is excellent control method due to characteristic to reducing harmonic more than others. The hybrid combination of fuzzy control and neural network will produce a powerful representation flexibility and numerical processing capability. Simulation results are presented to show the validity of the proposed algorithm.

Keywords