期刊論文
學年 | 97 |
---|---|
學期 | 1 |
出版(發表)日期 | 2009-01-01 |
作品名稱 | Hybrid evolutionary algorithm for PID controller design of AVR system |
作品名稱(其他語言) | |
著者 | Wong, Ching-Chang; Li, Shih-An; Wang, Hou-Yi |
單位 | 淡江大學電機工程學系 |
出版者 | Abingdon: Taylor & Francis Ltd. |
著錄名稱、卷期、頁數 | Journal of the Chinese Institute of Engineers=中國工程學刊 32(2), pp.251-264 |
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. |
關鍵字 | PID controller; genetic algorithms; particle swarm optimization (PSO); automatic voltage regulator (AVR) |
語言 | en |
ISSN | 0253-3839 |
期刊性質 | 國外 |
收錄於 | |
產學合作 | |
通訊作者 | |
審稿制度 | |
國別 | GBR |
公開徵稿 | |
出版型式 | 紙本 |
相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/61030 ) |