Parameters optimization of PID controller based on ACO-GA hybrid optimization strategy

被引：0

作者：

Liu Shaowei ^{[1
]}

Zhang Lin ^{[1
]}

Wang Jie ^{[1
]}

Han Huating ^{[1
]}

Cheng Yongqiang ^{[1
]}

机构：

[1] Air Force Engn Univ, Missile Inst, Sanyuan 713800, Shaanxi, Peoples R China

来源：

ISTM/2007: 7TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-7, CONFERENCE PROCEEDINGS | 2007年

关键词：

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：

To overcome shortcoming of traditional PID controller parameters optimization with manual cut-and-try method, we absorb the merits of ant colony optimization algorithm and genetic algorithm, and present a new ACO-SA hybrid optimization strategy to optimize the parameters of PID controller. The simulation results show that the ACO-GA hybrid optimization strategy has excellent flexibility, adaptability and robustness on PID parameters optimization.

引用

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页码：5253 / 5256

页数：4

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