대한전기학회논문지:전기기기및에너지변환시스템부문B (The Transactions of the Korean Institute of Electrical Engineers B)

대한전기학회 (The Korean Institute of Electrical Engineers)
권호 표지

IPMSM 드라이브의 온라인 파라미터 추정을 위한 신경회로망

Neural Network for on-line Parameter Estimation of IPMSM Drive

  • 이홍균 (순천대 대학원 정보통신공학부) ;
  • 이정철 (순천대 대학원 전기공학) ;
  • 정동화 (순천대학교 정보통신공학부)
  • 발행 : 2004.05.01
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초록

A number of techniques have been developed for estimation of speed or position in motor drives. The accuracy of these techniques is affected by the variation of motor parameters such as the stator resistance, stator inductance or torque constant. This paper is proposed a neural network based estimator for torque and stator 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.

키워드

참고문헌

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