| 標題：Design of a CMAC-based smooth adaptive neural controller with a saturation compensator | |
|---|---|
| 學年 | 100 |
| 學期 | 2 |
| 出版（發表）日期 | 2012/02/01 |
| 作品名稱 | Design of a CMAC-based smooth adaptive neural controller with a saturation compensator |
| 作品名稱（其他語言） | |
| 著者 | Yen, Ming-ching; 許駿飛; Hsu, Chun-fei; Chung, In-hang |
| 單位 | 淡江大學電機工程學系暨研究所 |
| 出版者 | Springer London |
| 著錄名稱、卷期、頁數 | Neural Computing and Applications 12(1), pp.35-44 |
| 摘要 | In the conventional CMAC-based adaptive controller design, a switching compensator is designed to guarantee system stability
in the Lyapunov stability sense but the undesirable chattering phenomenon occurs. This paper proposes a CMAC-based smooth adaptive neural control (CSANC) system that is composed of a neural controller and a saturation compensator. The neural controller uses a CMAC neural network to online mimic an ideal controller and the saturation compensator is designed to dispel the approximation error between the ideal controller and neural controller without any chattering phenomena. The parameter adaptive algorithms of the CSANC system are derived in the sense of Lyapunov stability, so the system stability can be guaranteed. Finally, the proposed CSANC system is applied to a Chua’s chaotic circuit and a DC motor driver. Simulation and experimental results show the CSANC system can achieve a favorable tracking performance. It should be emphasized that the development of the proposed CSANC system doesn’t need the knowledge of the system dynamics. |
| 關鍵字 | Chua’s chaotic circuit;DC motor driver;CMAC neural network;Adaptive control;Neural control |
| 語言 | 英文 |
| ISSN | 1433-3058 |
| 期刊性質 | 國外 |
| 收錄於 | SCI; |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 是 |
| 國別 | 英國 |
| 公開徵稿 | |
| 出版型式 | ,電子版,紙本 |
| 相關連結 | |
