會議論文
| 學年 | 103 |
|---|---|
| 學期 | 2 |
| 發表日期 | 2015-04-09 |
| 作品名稱 | Self-organizing fuzzy sliding-mode control for a voice coil motor |
| 作品名稱（其他語言） | |
| 著者 | 許駿飛; Kai-Yi Wong |
| 作品所屬單位 | |
| 出版者 | |
| 會議名稱 | 12th IEEE International Conference on Networking, Sensing and Control |
| 會議地點 | Taipei, Taiwan |
| 摘要 | Voice coil motor (VCM) is widely known as its topquality of free friction, low noise, fast transient response and well repeatability. Yet the dynamic characteristic of a VCM is nonlinear and time-varying, thus the model-based conventional controller is difficult to achieve high-precision control performance for a VCM. To attack this problem, a selforganizing fuzzy sliding-mode control (SFSC) system is proposed in this paper. All of the fuzzy rules are online grown and pruned by the structure learning phase and the parameter learning phase is designed to tune the controller parameter in the gradient-descent-learning algorithm. From the experiment results, it shows that the proposed SFSC system can successfully control a VCM with favorable control response with enhanced disturbance rejection performance. |
| 關鍵字 | fuzzy control;gradient methods;learning (artificial intelligence);self-adjusting systems;variable structure systems |
| 語言 | en_US |
| 收錄於 | |
| 會議性質 | 國際 |
| 校內研討會地點 | 無 |
| 研討會時間 | 20150409~20150411 |
| 通訊作者 | |
| 國別 | TWN |
| 公開徵稿 | Y |
| 出版型式 | 紙本 |
| 出處 | 12th IEEE International Conference on Networking, Sensing and Control, pp.287-292 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/103667 ) |