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

대한전기학회 (The Korean Institute of Electrical Engineers)
권호 표지

신경망 외란관측기와 파라미터 보상기를 이용한 PMSM의 정밀속도제어

Precision Speed Control of PMSM Using Neural Network Disturbance Observer and Parameter Compensator

  • 고종선 (원광대 전기전자 및 정보공학부) ;
  • 이용재 (원광대 전기전자 및 정보공학부)
  • Go, Jong-Seon (Dept.of Electric Electronics Information Engineering, Wonkwang University) ;
  • Lee, Yong-Jae (Dept.of Electric Electronics Information Engineering, Wonkwang University)
  • 발행 : 2002.10.01
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초록

This paper presents neural load disturbance observer that used to deadbeat load torque observer and regulation of the compensation gain by parameter estimator As a result, the response of PMSM follows that of the nominal plant. The load torque compensation method is compose of a neural deadbeat observer. To reduce of the noise effect, the post-filter, which is implemented by MA process, is proposed. The parameter compensator with RLSM(recursive least square method) parameter estimator is suggested to increase the performance of the load torque observer and main controller. The proposed estimator is combined with a high performance neural torque observer to resolve the problems. As a result, the proposed control system becomes a robust and precise system against the load torque and the parameter variation. A stability and usefulness, through the verified computer simulation and experiment, are shown in this paper.

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참고문헌

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