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

  •  Xiang Li    


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.

This work is licensed under a Creative Commons Attribution 4.0 License.