Optimization of PID Parameters Based on Improved Particle-Swarm-Optimization

被引：1

作者：

Fan, Xinming ^{[1
,2
]}

Cao, Jianzhong ^{[1
,2
]}

Yang, Hongtao ^{[1
,2
]}

Dong, Xiaokun ^{[1
,2
]}

Liu, Chen ^{[1
,2
]}

Gong, Zhendong ^{[1
,2
]}

Wu, Qingquan ^{[1
,2
]}

机构：

[1] Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Shanxi Province, Peoples R China

[2] Univ Chinese Acad Sci, Beijing 100039, Peoples R China

来源：

PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND CLOUD COMPUTING COMPANION (ISCC-C) | 2014年

关键词：

Particle Swarm Optimization; PID controller; parameters tuning; System simulation;

D O I：

10.1109/ISCC-C.2013.99

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Because the PID parameter settings obtained by classical method fail to achieve the best control performances, this paper proposes an improved particle swarm optimization (IPSO) algorithm with non-linear inertial weight changes and border buffer. Unlike the original PSO, the inertial weight changes instead of linearly. In addition, we provide a border buffer to the slopping-over particles, making them to fall in the explored space of optima to enhance the diversity of the particle swarm. The simulation experiments show that the system whose parameters are optimized by IPSO has better performances. Meanwhile, it proves the effectiveness of the improved particle swarm optimization.

引用

页码：393 / 397

页数：5

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