Three-motor Synchronous Decoupling Control Based on BP Neural Network

摘要：

A synchronous control system for three-motor is presented in this paper. The control system includes three intelligent PID controllers based on BP neural network arithmetic which adjusts the parameters of PID controllers on-line, and neuron decoupling compensator fulfilling open loop decoupling of multi-variable. The results of experiment indicates that the control system can get some optimal parameters of the PID controllers according to different running state of system, and has better performances of dynamic and static status comparing to traditional PID, and realizes the better decoupling control of speed and tension in the system.

关键词： synchronous control system BP neural network neuron decoupling decoupling control

作者: Xingqiao Liu Xiangmei Zhang Jianqun Hu Yang Liu Guohai Liu Liang Zhao

作者单位: School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 5365-5368

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）