Research on BLDCM Speed Control System Based on MFNN-PID Control Method

摘要：

　　It is very difficult to solve brushless DC motor(BLDCM) overshooting and short time oscillation during keeping speed of BLDCM.In view of shortages of normal PID controller,Modified Fuzzy Neural Network adjusting PID parameters and its Algorithm are researched.The MFNNs computation and convergence rates are better than FNN adjusting PID parameters.At last,mathematical expression of MFNN adjusting PID parameters is given.With Matlab sumulation,conclusion is the MFNN adjusting PID parameters is better in BLDCM speed control system robustness and real-time to solve interference of the system than PID controller and FNN adjusting PID parameters.It is fleasible to take the MFNN adjusting PID parameters in BLDCM speed control system.

关键词： BLDCM MFNN PID Simulate parameter optimization

作者: Xin Wang

作者单位: Department of Information Engineering ,Zhejiang Textile & Fashion College,Ningbo,315211 ,China

会议类型: 国际会议

会议名称: the Second International Conference on Frontiers of Manufacturing and Design Science(第二届制造与设计科学国际会议(ICFMD 2011))

会议地点: 台湾

会议语种:英文

页码: 3714-3718

在线出版日期: 2011-12-11（万方平台首次上网日期，不代表论文的发表时间）