Application of a modified PSO algorithm in PID controller optimization

被引:1
|
作者
Jiang Shi-cheng [1 ]
Xu Wen-bo [1 ]
机构
[1] Jiangnan Univ, IoT Engn, Wuxi, Jiangsu, Peoples R China
关键词
PID control; Particle Swarm Optimization; parameter optimization;
D O I
10.1109/DCABES.2011.25
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
A modified PSO for Optimum Design of PID Controller is stated. Particle Swarm Optimization is a new random global optimization algorithm. The algorithm feature is simple, ease to implement and powerful function. But it is easy to trap in the local pole, and search accuracy is low. PID controller principle is concise, physical meaning of its parameters are clear, and theoretical analysis system is integrity and the industrial sector are familiar with it, so in the industrial process control is still widely used. In this paper, the modified PSO algorithm has been used in PID controller to optimize parameters and compared with basic PSO algorithm. Emulation experiments demonstrated that the modified PSO algorithm increase the probability convergence to the global optimal solution.
引用
收藏
页码:343 / 346
页数:4
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