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Simulation Research of Brushless Direct Current Motor Speed System Based on Neuro-PID Position Controller

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  • Xiang Li

Abstract

A new speed control strategy is presented for high performance con­trol of a Brushless Direct Current Motor (BLDCM). A self-tuning Neuro-PID controller is developed for speed control. The PID gains are tuned automatically by the neural network in an on-line way. In recent years, the re-searches on the control of electrical machines based on Neuro-PID Position Controller are increased.It offers inherent advantages over con­ventional PID controller for BLDCM, Such as reduction of the effects of motor parameter variations, improvement of controller time response and improve­ment of drive robustness. The BLDCM drive system was simulated by using MATLAB 7.0/Simulink software package. The performance of the proposed method is compared with the conventional PID methods. At the result, the con­trol based on self-tuning Neuro-PID control has better performance than the conventional PID controller.

Suggested Citation

  • Xiang Li, 2008. "Simulation Research of Brushless Direct Current Motor Speed System Based on Neuro-PID Position Controller," Modern Applied Science, Canadian Center of Science and Education, vol. 2(2), pages 1-54, March.
    • Handle: RePEc:ibn:masjnl:v:2:y:2008:i:2:p:54
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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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