Research on PID Controller Based on RBF Neural Network

摘要：

RBF neural network is a kind of feedforward neural network with good performance, which is proposed based on the brains neurons to external reaction and it has the capability of strong nonlinear mapping, it can with arbitrary precision approaches a nonlinear function global, it has the advantage of simple structure, fast learning etc. Neural network with arbitrary nonlinear expression ability can realize the best PID control by system performance study, by RBF network, the self-learning PID controller can been built with parameters Kp,Ki, Kd, the simulation results show that the system has good dynamic and static performance.

关键词： RBF neural network PID control self-learning simulation

作者: Zhang Yanhong Zhao Dean Zhang Jiansheng

作者单位: School of Electronic Information & Electric Engineering Jiangsu University ZhenJiang, China School o School of Electronic Information & Electric Engineering Jiangsu University ZhenJiang, China School of Electronic Information & Electric Engineering Changzhou Institute of Technology Changzhou,

会议类型: 国际会议

会议名称: 2011 International Conference on Electronics and Optoelectronics(2011电子学与光电子学国际会议 ICEOE 2011)

会议地点: 大连

会议语种:英文

页码: 443-445

在线出版日期: 2011-07-29（万方平台首次上网日期，不代表论文的发表时间）