Optimal Design for 2-DOF PID Regulator Based on PSO Algorithm

被引：0
|
作者：
Wang, Haiwen [1 ,2 ]
Zhang, Jinggang [2 ]
Dai, Yuewei [1 ]
Qu, Junhai [3 ]
机构：
[1] Nanjing Univ Sci & Technol, Automat Sch, Nanjing 210094, Peoples R China
[2] Taiyuan Univ Sci & Technol, Automat Dept, Taiyuan 030024, Peoples R China
[3] China North Ind Grp 207 Res Inst, Taiyuan 030024, Peoples R China
来源：
ADVANCES IN SWARM INTELLIGENCE, PT 2, PROCEEDINGS | 2010年 / 6146卷
关键词：
2DOF control; Particle Swarm Algorithm; Robustness;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Particle swarm optimization(PSO) algorithm is a random global optimization technology, The algorithm features simple and ease to implement. Through interaction between particles, the algorithm found the optimal area in complicate searching space. In this paper, a method of optimizing two-degree-of-freedom (2-DOF) PID regulator parameter by using PSO algorithm is proposed, the optimization result is compared with the design way of 2-DOF based on IMC. The comparative results show that the system achieves better simultaneously both the command tracking and disturbance rejection characteristics by using PSO algorithm. The result verified the effectiveness of the PSO algorithm.
引用
收藏
页码：515 / +
页数：2
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