| Optimal PID Controller Design for AVR System | |
|---|---|
| 學年 | 98 |
| 學期 | 1 |
| 出版（發表）日期 | 2009-09-01 |
| 作品名稱 | Optimal PID Controller Design for 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 | 臺北縣：淡江大學 |
| 著錄名稱、卷期、頁數 | 淡江理工學刊=Tamkang Journal of Science and Engineering 12(3), pp.259-270 |
| 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. |
| 關鍵字 | |
| 語言 | en |
| ISSN | 1560-6686 |
| 期刊性質 | 國內 |
| 收錄於 | EI |
| 產學合作 | |
| 通訊作者 | Wong, Ching-Chang |
| 審稿制度 | 否 |
| 國別 | TWN |
| 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/987654321/52808 ) |
| SDGS | 產業創新與基礎設施 |
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