Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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Parameter Estimater of IPMSM Drive using Neural Network

신경회로망을 이용한 IPMSM 드라이브의 파라미터 추정

  • Jung, Tack-Gi (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.)
  • 이홍균 (국립순천대학교 정보통신공학부) ;
  • 이정철 (국립순천대학교 정보통신공학부) ;
  • 정택기 (국립순천대학교 정보통신공학부) ;
  • 이영실 (국립순천대학교 정보통신공학부) ;
  • 정동화 (국립순천대학교 정보통신공학부)
  • Published : 2003.10.30
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Abstract

This paper is Proposed a neural network based estimator for torque and ststor resistance in IPMSM Drives. The neural weights are initially chosen randomly and a model reference algorithm adjusts those weights to give the optimum estimations. The neural network estimator is able to track the varying parameters quite accurately at different speeds with consistent performance. The neural network parameter estimator has been applied to slot and flux linkage torque ripple minimization of the IPMSM. The validity of the proposed parameter estimator is confirmed by the operating characteristics controlled by neural networks control.

Keywords