Application of an enhanced PSO algorithm to optimal tuning of PID gains

被引：0
|
作者：
Fang, Hongqing [1 ]
Chen, Long [1 ]
机构：
[1] Hohai Univ, Coll Elect Engn, Nanjing 210098, Jiangsu, Peoples R China
来源：
CCDC 2009: 21ST CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, PROCEEDINGS | 2009年
关键词：
artificial intelligence; computer simulation; optimal tuning; particle swarm optimization; PID gains; PARTICLE SWARM OPTIMIZATION; POWER;
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：
In this paper, an enhanced particle swarm optimization algorithm with more information and other PSO variants were applied to optimal tuning of Proportional-Integral-Derivative (PID) parameters for a typical PID control system. The digital simulation results show the enhanced PSO algorithm has stable convergence characteristic and good computational ability, and it is an effective method for optimal tuning of PID gains.
引用
收藏
页码：35 / 39
页数：5
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