| 標題：Adaptive exponential-reaching sliding-mode control for antilock braking systems | |
|---|---|
| 學年 | 103 |
| 學期 | 1 |
| 出版（發表）日期 | 2014/08/01 |
| 作品名稱 | Adaptive exponential-reaching sliding-mode control for antilock braking systems |
| 作品名稱（其他語言） | |
| 著者 | Hsu, Chun-Fei; Kuo, Tzu-Chun |
| 單位 | 淡江大學電機工程學系 |
| 出版者 | Dordrecht: Springer Netherlands |
| 著錄名稱、卷期、頁數 | Nonlinear Dynamics 77(3), pp.993-1010 |
| 摘要 | Most commercial antilock braking system (ABS) is based on a look-up table. The table is calibrated through laboratory experiments and engineering field tests under specified road conditions, but it is not adaptive. To attack this problem, this paper proposes an adaptive exponential-reaching sliding-mode control (AERSMC) system for an ABS. The proposed AERSMC system is composed of an equivalent controller and an exponential compensator. The equivalent controller uses a functional-linked wavelet neural network (FWNN) to online approximate the system uncertainties and the exponential compensator is designed to eliminate the effect of the approximation error introduced by the FWNN uncertain observer with an exponential-reaching law. In addition, the adaptive laws online-tune the controller parameters in the sense of Lyapunov function to guarantee the system stability. Finally, the simulation results verify that the proposed AERSMC system can achieve favorable slip tracking performance and is robust against parameter variations in the plant. |
| 關鍵字 | Sliding-mode control;Exponential-reaching law;Functional-linked neural network;Wavelet neural network |
| 語言 | 英文 |
| ISSN | 1573-269X |
| 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 | 荷蘭 |
| 公開徵稿 | |
| 出版型式 | ,電子版,紙本 |
| 相關連結 | |
