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

대한전기학회 (The Korean Institute of Electrical Engineers)
권호 표지

신경회로망을 이용한 불확실성을 갖는 유도전동기의 적응 백스테핑 속도제어기 설계

Design of an Adaptive Backstepping Speed Controller for Induction Motors with Uncertainties using Neural Networks

  • 발행 : 2006.11.01
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초록

Based on a field-oriented model of induction motor, an adaptive backstepping control approach using neural networks is proposed in this paper for the speed control of induction motors with uncertainties at a minimum of information. Neural networks are used to approximate most of uncertainties which are derived from unknown motor parameters, load torque disturbances and unknown nonlinearities and an adaptive backstepping controller is used to derive adaptive law of neural networks and control input directly. The controller is implemented by the hardware using DSP and the effectiveness of the proposed approach is verified by carrying out the experiment.

키워드

참고문헌

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