Adaptive Prediction PID Control Based on RBFNN

摘要：

To system which is of long time-delay in the industrial control fields, a control method of adaptive predictive PID control based on RBF neural network (RBFNN) is presented. The dynamic behavior of control object in the future time is implemented more accurately by the description of Predictive model based on RBFNN trained by clustering and the self-tuning of controller parameters was implemented by the RBFNN controller. The simulation result indicates that the system possesses the advantages of high precision, quick response speed and is of great adaptability and robustness.

关键词： Time-delay RBFNN Prediction Clustering

作者: Li Minghe Wang Meng Shi Yanyan

作者单位: Anhui University of Technology,Maanshan,China 243002

会议类型: 国际会议

会议名称: 第八届国际电子测量与仪器学术会议(Proceedings of 2007 8th International Conference on Electronic Measurement & Instruments)

会议地点: 西安

会议语种:英文

在线出版日期: 2007-08-16（万方平台首次上网日期，不代表论文的发表时间）