Self-tuning of PID Parameters Based on the Modified Particle Swarm Optimization

被引：2
|
作者：
Huang, Guoming [1 ]
Wu, Dezhao [1 ]
Yang, Wailing [1 ]
Xue, Yuncan [1 ]
机构：
[1] Hohai Univ, Coll Comp & Informat, Jiangsu Key Lab Power Transmiss & Distribut Equip, Changzhou 213022, Jiangsu, Peoples R China
来源：
2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA) | 2010年
关键词：
Particle swarm optimization; PID Controller; Genetic algorithm; Mutation;
D O I：
10.1109/WCICA.2010.5554822
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a novel design method for determining the optimal proportional-integral-derivative (PID) controller parameters using the particle swarm optimization (PSO) algorithm is presented. This paper demonstrated in detail how to employ the PSO method to search efficiently the optimal PID controller parameters. To overcome premature of standard PSO algorithm, a modified PSO (MPSO) based on partial particle moving direction changing was proposed. It holds on the proprieties of simple structure, fast convergence, and at the same time, enhances the variety of the populations, extends the search space, and does not increase the computation complexity. Simulation results show that the algorithms are effective and the designed controller has excellent performance.
引用
收藏
页码：5311 / 5314
页数：4
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