PID tuning based on improved quantum genetic algorithm

被引：3
|
作者：
Zhang, Jian [1 ]
Liu, Li [1 ]
Li, Huanzhou [1 ]
Tang, Zhangguo [1 ]
机构：
[1] Sichuan Normal Univ, Sch Phys & Elect Engn, Chengdu, Peoples R China
来源：
2013 SIXTH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID), VOL 2 | 2013年
关键词：
quantum genetic algorithm; PID parameters; tuning; DESIGN;
D O I：
10.1109/ISCID.2013.125
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Parameters tuning is the key of the design of PID controller, for the PID parameters tuning, a PID parameters tuning method based on improved quantum genetic algorithm is proposed in this study. This study proposes an improved genetic algorithm (IQGA) which introduces a dynamic adjustment strategy of population and search intervals to improve the convergence speed, search ability and stability of quantum genetic algorithm-based PID parameters tuning method. Experimental results show that the proposed algorithm can obtain a good performance in PID parameters tuning problem.
引用
收藏
页码：44 / 47
页数：4
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