Double Closed-Loop Controller Design of Brushless DC Torque Motor Based on RBF Neural Network

摘要：

　　For the problem of that the traditional brushless DC torque motor controller position servo system is difficult to track accurately the complex and varied location information,an improved double closed-loop controller is designed in this paper.A self-adaptive PID algorithm based on RBF neural network is employed to design position loop controller and a feed-forward control algorithm is used in the speed loop controller.The improved double closed-loop controller validated the feasibility of the new method for the design of brushless DC torque motor position servo system.

关键词： Brushless DC torque motor RBF neural network double closed-loop controller

作者: Denghua Li Zhanxian Chen Shuang Zhai

作者单位: School of Automation BISTU Beijing

会议类型: 国际会议

会议名称: the 2012 2nd International Conference on Frontiers of Manufacturing Science and Measuring Technology (第二届制造科学与检测技术国际会议(ICFMM 2012))

会议地点: 西安

会议语种:英文

页码: 1351-1356

在线出版日期: 2012-06-12（万方平台首次上网日期，不代表论文的发表时间）