A particle swarm optimization approach for optimum design of PID controller in AVR system

被引：1118

作者：

Gaing, ZL ^{[1
]}

机构：

[1] Kao Yuan Inst Technol, Dept Elect Engn, Kaohsiung 821, Taiwan

来源：

IEEE TRANSACTIONS ON ENERGY CONVERSION | 2004年 / 19卷 / 02期

关键词：

AVR system; optimal control; particle swarm optimization; PID controller;

D O I：

10.1109/TEC.2003.821821

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

In this paper, a novel design method for determining the optimal proportional-integral-derivative (PID) controller parameters of an AVR system using the particle swarm optimization (PSO) algorithm is presented. This paper demonstrated in detail how to employ the PSO method to search efficiently the optimal PID controller parameters of an AVR system. The proposed approach had superior features, including easy implementation, stable convergence characteristic, and good computational efficiency. Fast tuning of optimum PID controller parameters yields high-quality solution. In order to assist estimating the performance of the proposed PSO-PID controller, a new time-domain performance criterion function was also defined. Compared with the genetic algorithm (GA), the proposed method was indeed more efficient and robust in improving the step response of an AVR system.

引用

页码：384 / 391

页数：8

共 18 条

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