Design and Application of Decoupled Controller Based on the BP Neural Network

摘要：

Composed by the neural network and traditional PID controller, a new BP neural network PID parameter self-adjustment decoupled controller is designed to realize the control of multi-input and multi-output systems in this paper, as well as to solve the problem such that the traditional PID controller can not achieve satisfied control effectiveness in multi-input and multi-output strong coupled control systems. The BP neural network PID controller is not only owning non-linear mapping capability, but also owning the PID capability of dealing with dynamical information. Because of the simple structure and algorithm, the BP neural network PID control method is more suitable for industry application.

关键词： PID Control BP Neural Network Decouple Control MIMO System

作者: CUI Baoxia SUN Deyuan

作者单位: School of Information Science and Engineering, Shenyang University of Technology, Shenyang, Liaoning, 110870

会议类型: 国际会议

会议名称: 2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

会议地点: 四川绵阳

会议语种:英文

页码: 3062-3066

在线出版日期: 2011-05-23（万方平台首次上网日期，不代表论文的发表时间）