Optimization of PID Controller Parameters Based on Improved Genetic Algorithm

被引：1
|
作者：
Chen, Ying [1 ]
Ma, Yong-jie [1 ]
Yun, Wen-xia [1 ]
机构：
[1] Northwest Normal Univ, Coll Phys & Elect Engn, Lanzhou 730070, Gansu, Peoples R China
来源：
SENSORS, MEASUREMENT AND INTELLIGENT MATERIALS, PTS 1-4 | 2013年 / 303-306卷
关键词：
PID controller; Improved Genetic Algorithm; Parameter setting; Optimization;
D O I：
10.4028/www.scientific.net/AMM.303-306.1189
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The current Proportion Integration Differentiation(PID) optimization design methods are often difficult to consider the system requirements for quickness,reliability and robustness.So an Improved Genetic Algorithm(IGA) is proposed.The new method of generating the initial population,adaptive change of crossover and mutation probability and effective selection strategy are used to optimize the parameters of PID controller. The simulation experiments with Matlab prove the new approach is valid.
引用
收藏
页码：1189 / 1192
页数：4
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