Brushless DC Motor Speed Control System Based on Fuzzy Neural Network Control

摘要：

As brushless DC motor (BLDCM) is a multi variable and non-linear system, using conventional PID control can not obtain satisfied control effect. Based on the mathematic model of BLDCM, a fuzzy neural network controller is designed, and the membership function is composed by Guass function. The system illustrates that excellent flexibility and adaptability as well as high precision and good robustness is obtained by the proposed strategy.

关键词： Guass function BLDCM fuzzy neural network learning arithmetic

作者: Yongjian Lv Hu Fan Qiang Zou Jing Wan

作者单位: Automation College, Northwestern Polytechnic University, Xian, 710068, China Engineering College, Air Force Engineering University, Xian, 710038, China Science College, Air Force Engineering University, Xian, 710051, China

会议类型: 国际会议

会议名称: 2009 International Workshop on Information Security and Application(2009 信息安全与应用国际研讨会)

会议地点: 青岛

会议语种:英文

页码: 173-176

在线出版日期: 2009-11-21（万方平台首次上网日期，不代表论文的发表时间）