Optimal PID Controller Design for AVR System

被引：0
|
作者：
Wong, Ching-Chang [1 ]
Li, Shih-An [1 ]
Wang, Hou-Yi [1 ]
机构：
[1] Tamkang Univ, Dept Elect Engn, Tamsui 251, Taiwan
来源：
JOURNAL OF APPLIED SCIENCE AND ENGINEERING | 2009年 / 12卷 / 03期
关键词：
PID Controller; Genetic Algorithms; Particle Swarm Optimization; Automatic Voltage Regulator (AVR);
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this paper, a real-valued genetic algorithm (RGA) and a particle swarm optimization (PSO) algorithm with a new fitness function method are proposed to design a PID controller for the Automatic Voltage Regulator (AVR) system. The proposed fitness function can let the RGA and PSO algorithm search a high-quality solution effectively and improve the transient response of the controlled system. The proposed algorithms are applied in the PID controller design for the AVR system. Some simulation and comparison results are presented. We can see that the proposed RGA and PSO algorithm with this new fitness function can find a PID control parameter set effectively so that the controlled AVR system has a better control performance.
引用
收藏
页码：259 / 270
页数：12
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