Tuning 2-DOF PID controller using improved particle swarm optimization

被引：0

作者：

Wang Wei ^{[1
]}

Peng Li ^{[1
]}

机构：

[1] So Yangtze Univ, Sch Commun & Control Engn, Wuxi 214122, Peoples R China

来源：

PROCEEDINGS OF THE 2007 CHINESE CONTROL AND DECISION CONFERENCE | 2007年

关键词：

particle swarm optimization; nonlinear; 2-degree-of-freedom PID;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Particle swarm optimization (PSO) is a kind of effective and parallel search algorithm, but it is easy to fall into local optimization. For these disadvantages of PSO, adjusting adaptively and nonlinearly method of parameters in PSO is presented by using S-function. The improved method tested by function Shaffer's F6 has better performance in global searching comparing with the method using linearly adjusting parameters. Then, the parameters of 2-degree of-freedom PID (2-DOF PID) controller are tuned. The results show the effectiveness of the method in improving the controller performance.

引用

页码：477 / 480

页数：4