ALM-FNN 제어기에 의한 SynRM의 효율 최적화 제어

Efficiency Optimization Control of SynRM with ALM -FNN Controller

  • 최정식 (순천대학교 공과대학 정보통신공학부) ;
  • 고재섭 (순천대학교 공과대학 정보통신공학부) ;
  • 김길봉 (순천대학교 공과대학 정보통신공학부) ;
  • 정동화 (순천대학교 공과대학 정보통신공학부)
  • Choi, Jung-Sik (School of Information & Communication Engineering. Sunchon National Univ.) ;
  • Ko, Jae-Sub (School of Information & Communication Engineering. Sunchon National Univ.) ;
  • Kim, Kil-Bong (School of Information & Communication Engineering. Sunchon National Univ.) ;
  • Chung, Dong-Hwa (School of Information & Communication Engineering. Sunchon National Univ.)
  • 발행 : 2006.10.19

초록

This paper is proposed an efficiency optimization control algorithm for a synchronous reluctance motor which minimizes the copper and iron losses. The design of the speed controller based on adaptive learning mechanism-fuzzy neural networks(ALM-FNN) controller that is implemented using adaptive, fuzzy control and neural networks. The control performance of the hybrid artificial intelligent controller is evaluated by analysis for various operating conditions. Analysis results are presented to show the validity of the proposed algorithm.

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