Hybrid evolutionary algorithm for PID controller design of AVR system

淡江大學機構典藏 > 工學院 > 電機工程學系暨研究所 > 期刊論文 > Item 987654321/61030

請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/61030

題名:	Hybrid evolutionary algorithm for PID controller design of AVR system
作者:	Wong, Ching-Chang;Li, Shih-An;Wang, Hou-Yi
貢獻者:	淡江大學電機工程學系
關鍵詞:	PID controller;genetic algorithms;particle swarm optimization (PSO);automatic voltage regulator (AVR)
日期:	2009
上傳時間:	2013-07-11 11:58:28 (UTC+8)
出版者:	Abingdon: Taylor & Francis Ltd.
摘要:	In this paper, a Hybrid Evolutionary Algorithm (HEA) combined with the concepts of Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithm is proposed. Moreover, a new fitness function is proposed to let the evolutionary algorithms search for a high‐quality solution effectively and improve the transient response of the controlled system. The proposed algorithm was applied in a PID controller design for an Automatic Voltage Regulator (AVR) system. From some simulation and comparison results, we can see that the proposed new fitness function can let the optimal algorithms find a high‐quality solution effectively. Moreover, the PID controller obtained by the proposed algorithm controls the AVR system better than other methods.
關聯:	Journal of the Chinese Institute of Engineers=中國工程學刊 32(2), pp.251-264
DOI:	10.1080/02533839.2009.9671502
顯示於類別:	[電機工程學系暨研究所] 期刊論文

文件中的檔案:

在機構典藏中所有的資料項目都受到原著作權保護.

TAIR相關文章