The Research and Application of Particle Swarm Optimization in Parameter Tuning on PID Controller

被引：0
|
作者：
Tang, Yulan [1 ]
Chen, Jianhui [2 ]
机构：
[1] Wuxi City Coll, Dept Elect & Informat Engn, Wuxi 214151, Jiangsu, Peoples R China
[2] Wu Xi Inst Technol, Coll Elect & Informat Technol, Wuxi 214121, Peoples R China
来源：
APPLIED MATERIALS AND TECHNOLOGIES FOR MODERN MANUFACTURING, PTS 1-4 | 2013年 / 423-426卷
关键词：
Genetic Algorithm; PID control; Parameters Tuning; Particle Swarm Algorithm;
D O I：
10.4028/www.scientific.net/AMM.423-426.2899
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
A design method of PM controller based on particle swarm algorithm is proposed to solve the difficult problems of parameter tuning on PID controller in automatic control system. And the specific experimental structure is also given. The transfer function of DC servo generator was found with identification of system parameters, and the PID parameters were searched by particle swarm algorithm. MATLAB simulation was used to demonstrate the feasibility and advantages of this approach. The simulation result was compared to the result of searching PID parameters based on genetic algorithm, and it is show that the seeking time to tune the PID parameters by using the particle swarm algorithm is faster than by using the genetic algorithm method.
引用
收藏
页码：2899 / +
页数：2
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