Study of PID Control System For Ant Colony Algorithm

被引：0
|
作者：
He, Hong [1 ]
Liu, Fang [1 ]
Li, Li [1 ]
Yang, Jin-Rong [2 ]
Su, Lei [2 ]
Wu, Yi [1 ]
机构：
[1] Tianjin Univ Technol, Tianjin Key Lab Control Theory & Applicat Complic, Tianjin 300191, Peoples R China
[2] Tianjin Nano Elevator Technol Co Ltd, Tianjin 300191, Peoples R China
来源：
PROCEEDINGS OF THE 2009 WRI GLOBAL CONGRESS ON INTELLIGENT SYSTEMS, VOL I | 2009年
关键词：
TSP; Ant Colony Optimization; PID control;
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：
The key of PID control systematic optimization design is PID parameter optimization. Traditional PID controller parametesr adopt experiment to add the way of trying to carry out optimization by man It is fairly time-consuming, PID controller have no self-adaptive ability, can only rely on artificial optimization parameter. This paper puts forward a kind of algorithm to select the PID parameters based on the crowd algorithm of ant.Scientists have put forward the crowd algorithm of ant by mutating the ant collective in nature and. Imitation research has shown the validity of this algorithm this algorithm have surmounted the disadvantages of traditional PID regulator parameter optimization.
引用
收藏
页码：204 / +
页数：2
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