The Transactions of the Korean Institute of Electrical Engineers D (대한전기학회논문지:시스템및제어부문D)

The Korean Institute of Electrical Engineers (대한전기학회)
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Hybrid Intelligent Control for Speed Sensorless of SPMSM Drive

SPMSM 드라이브의 속도 센서리스를 위한 하이브리드 지능제어

  • 이정철 (순천대 공대 정보통신공학부) ;
  • 이홍균 (순천대 공대 정보통신공학부) ;
  • 정동화 (순천대 공대 정보통신공학부)
  • Published : 2004.10.01
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Abstract

This paper is proposed a hybrid intelligent controller based on the vector controlled surface permanent magnet synchronous motor(SPMSM) drive system. The hybrid combination of neural network and fuzzy control will produce a powerful representation flexibility and numerical processing capability. Also, this paper is proposed speed control of SPMSM using neural network-fuzzy(NNF) control and speed estimation using artificial neural network(ANN) Controller. The back propagation neural network technique is used to provide a real time adaptive estimation of the motor speed. The error between the desired state variable and the actual one is back-propagated to adjust the rotor speed, so that the actual state variable will coincide with the desired one. The back propagation mechanism is easy to derive and the estimated speed tracks precisely the actual motor speed. This paper is proposed the theoretical analysis as well as the simulation results to verify the effectiveness of the new method.

Keywords

References

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