關鍵字查詢 | 類別:期刊論文 | | 關鍵字:Hybrid evolutionary algorithm for PID controller design of AVR system

[第一頁][上頁]1[次頁][最末頁]目前在第 1 頁 / 共有 02 筆查詢結果
序號 學年期 教師動態
1 97/1 電機系 翁慶昌 教授 期刊論文 發佈 Hybrid evolutionary algorithm for PID controller design of AVR system , [97-1] :Hybrid evolutionary algorithm for PID controller design of AVR system期刊論文Hybrid evolutionary algorithm for PID controller design of AVR systemWong, Ching-Chang; Li, Shih-An; Wang, Hou-Yi淡江大學電機工程學系PID controller; genetic algorithms; particle swarm optimization (PSO); automatic voltage regulator (AVR)Abingdon: Taylor & Francis Ltd.Journal of the Chinese Institute of Engineers=中國工程學刊 32(2), pp.251-264In 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 fin
2 97/1 電機系 李世安 副教授 期刊論文 發佈 Hybrid evolutionary algorithm for PID controller design of AVR system , [97-1] :Hybrid evolutionary algorithm for PID controller design of AVR system期刊論文Hybrid evolutionary algorithm for PID controller design of AVR systemWong, Ching-Chang; Li, Shih-An; Wang, Hou-Yi淡江大學電機工程學系PID controller; genetic algorithms; particle swarm optimization (PSO); automatic voltage regulator (AVR)Abingdon: Taylor & Francis Ltd.Journal of the Chinese Institute of Engineers=中國工程學刊 32(2), pp.251-264In 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 fin
[第一頁][上頁]1[次頁][最末頁]目前在第 1 頁 / 共有 02 筆查詢結果