Study of A Single Neuron Fuzzy PID DC Motor Control method

摘要：

As the brushless DC motor is more and more widely used, relating control algorithm need more and more precise and intelligence. In this paper, after studying the fuzzy control and the neural network theory, a single neuron fuzzy self-adaptive PID control algorithm is presented for speed control of the brushless DC motor. The Matlab software simulation results show that the single neuron fuzzy self-adaptive PID control algorithm has more robustness, faster response speed and more excellent adaptive capacity than increment PID , and PID based on quadratic performance index learning algorithm of single neuron adaptive. Thus the algorithm can be widely applied to the actual control system.

关键词： Fuzzy control Single neuron self-adaptive Brushless DC motor Speed controller.

作者: Chen Weibing Zeng Guanghua Zou Haojie Zhang Hongbo Tan Chuanwu

作者单位: School of Computer and Communication, Hunan University of Technology, Zhuzhou, Hunan, 412008, China Electrical Engineering, Hunan Institute of Railway Technology, Zhuzhou, Hunan, 412001, China

会议类型: 国际会议

会议名称: 2012 International Conference on Intelligent System Design and Engineering Applications(2012年智能系统设计与工程应用国际会议 ISDEA 2012)

会议地点: 三亚

会议语种:英文

页码: 1125-1128

在线出版日期: 2012-01-06（万方平台首次上网日期，不代表论文的发表时间）