Optimization of PID parameters with an improved simplex PSO

被引：0
|
作者：
Ji-min Li
Yeong-Cheng Liou
Li-jun Zhu
机构：
[1] Beifang University for Nationalities,School of Mathematics and Information Sciences
[2] Cheng Shiu University,Department of Information Management
[3] Kaohsiung Medical University,Center for General Education
来源：
Journal of Inequalities and Applications | / 2015卷
关键词：
simplex particle swarm optimization; ‘0.618’ method; PID automatic regulation system; 60H35; 93C20; 65C20; 60H15;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper, we adopt the ‘0.618’ method to select the compression factor and expansion factor for the simplex particle swarm optimization algorithm. We use our new method to optimize parameters of a Proportion Integral Differential (PID) controller. The experimental results show that our method can effectively solve the slow convergence problem and give a better performance than the conventional PID method does.
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