期刊論文
| 學年 | 104 |
|---|---|
| 學期 | 1 |
| 出版（發表）日期 | 2016-01-13 |
| 作品名稱 | Design and Implementation of a Robust FNN-based Adaptive Sliding-Mode Controller for Pneumatic Actuator Systems |
| 作品名稱（其他語言） | |
| 著者 | L.W. Lee, and I.H. Li |
| 單位 | |
| 出版者 | |
| 著錄名稱、卷期、頁數 | Journal of Mechanical Science and Technology 30(1), p.381-396 |
| 摘要 | An adaptive Fourier neural network sliding mode controller with H ∞ tracking performance (AFNN-SMC+ H ∞) is applied for a Pneumatic actuator system (PAS) to overcome time-varying nonlinear dynamics and external disturbances. Benefiting from the use of orthogonal Fourier basis function, the proposed AFNN has fast estimated convergence speed; also, because AFNN has unique solution, it can avoid falling into the local minimum. The architecture of AFNN can also easily be determined by its clear physical meaning of the neurons. To attenuate the vibration of proportional directional control valve and the adaptive approximation error, the H ∞ tracking design technique is incorporated into the proposed AFNN-SMC. Finally, practical experiments are successfully implemented in position regulation, trajectory tracking, and velocity control of the PAS, which illustrates the effectiveness of the proposed controller. |
| 關鍵字 | Adaptive control;Fourier neural network;H∞ tracking performance;Pneumatic actuator system;Sliding mode control |
| 語言 | en |
| ISSN | |
| 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 | KOR |
| 公開徵稿 | |
| 出版型式 | ,電子版 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/115953 ) |