Design of Neural Network PID Controller Based on Brushless DC Motor

摘要：

For the performance and accuracy requirements of brushless DC motor speed control system, this paper integrates organically neural network and the traditional PID to constitute brushless DC motor speed control system based on BP neural network self-tuning parameters PID control. The traditional PID controller is used in the beginning several seconds, and then another parameter self-tuning PID controller based on BP neural network is converted to after training for seconds. Simulation model was established in Matlab/Simulink . The simulation results indicate that the neutral network PID controller can improve the robustness of the system and has better adaptabilities to the model and environments compared with the traditional PID controller.

关键词： BP neural network PID controller brushless DC motor

作者: Hua Ji Zhiyong Li

作者单位: Department of Electrical and Electronic Engineering Shandong University of Technology Zibo City, Chi Department of Mechanical Engineering Shandong University of Technology Zibo City, China

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 1972-1975

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）