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
收藏
页码：5253 / 5256
页数：4
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