Efficiency Optimization Control of IPMSM with AFLC-FNN Controller

AFLC-FNN 제어기에 의한 IPMSM의 효율 최적화 제어

  • Choi, Jung-Sik (School of Information & Communication Engineering, Sunchon National Univ.) ;
  • Ko, Jae-Sub (School of Information & Communication Engineering, Sunchon National Univ.) ;
  • Lee, Jung-Ho (School of Information & Communication Engineering, Sunchon National Univ.) ;
  • Kim, Jong-Kwan (School of Information & Communication Engineering, Sunchon National Univ.) ;
  • Park, Ki-Tae (School of Information & Communication Engineering, Sunchon National Univ.) ;
  • Park, Byung-Sang (School of Information & Communication Engineering, Sunchon National Univ.) ;
  • Chung, Dong-Hwa (School of Information & Communication Engineering, Sunchon National Univ.)
  • 최정식 (순천대학교 공과대학 정보통신공학부) ;
  • 고재섭 (순천대학교 공과대학 정보통신공학부) ;
  • 이정호 (순천대학교 공과대학 정보통신공학부) ;
  • 김종관 (순천대학교 공과대학 정보통신공학부) ;
  • 박기태 (순천대학교 공과대학 정보통신공학부) ;
  • 박병상 (순천대학교 공과대학 정보통신공학부) ;
  • 정동화 (순천대학교 공과대학 정보통신공학부)
  • Published : 2006.04.20

Abstract

Interior permanent magnet synchronous motor(IPMSM) has become a popular choice in electric vehicle applications. This paper proposes efficiency optimization control of IPMSM drive using AFLC-FNN(Adaptive Fuzzy Learning Control Fuzzy Neural Network)controller. In order to maximize the efficiency in such applications, this paper proposes the optimal control method of the armature current. The optimal current can be decided according to the operating speed and the load conditions. This paper proposes speed control of IPMSM using AFLC-FNN and estimation of speed using ANN controller. The back propagation neural network technique is used to provide a real time adaptive estimation of the motor speed. The proposed control algorithm is applied to IPMSM drive system controlled AFLC-FNN controller, the operating characteristics controlled by efficiency optimization control are examined in detail.

Keywords