Study on Adaptive PID Control Algorithm Based on RBF Neural Netwoik

被引:0
作者
Chen, Wenbai [1 ]
Wu, Xibao [1 ]
Pei, Yanrong [1 ]
Li, Jin-ao [1 ]
机构
[1] Beijing Informat Sci & Technol Univ, Automat Sch, Beijing, Peoples R China
来源
2011 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION AND INDUSTRIAL APPLICATION (ICIA2011), VOL I | 2011年
关键词
Adaptive PID Controller; RBF Neural Network; Inverted Pendulum;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
With the problems of slow convergence and "local minimum", BP neural network is difficult to meet the requirement of real-time control system. To overcome it, An adaptive PID control strategy based on Radial Basis Function (RBF) neural network is studied in this paper. The design of neural network adaptive PID controller is introduced, the PID parameters on-line adjustment algorithm of RBF neural network is illustrated and the simulation based on single inverted pendulum system is completed. The results show that the proposed controller is practical and effective, because of the adaptability, strong robustness and satisfactory control performance.
引用
收藏
页码:337 / 340
页数:4
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