| Application Artificial Intelligence Control System for UAV Landing Gear | |
|---|---|
| 學年 | 103 |
| 學期 | 1 |
| 出版(發表)日期 | 2014-08-19 |
| 作品名稱 | Application Artificial Intelligence Control System for UAV Landing Gear |
| 作品名稱(其他語言) | |
| 著者 | Yen-Bin Chen; Yung-Lung Lee; Shou-Jen Hsu; Kuei-Yi Chen; Yi-Wei Chen |
| 單位 | |
| 出版者 | |
| 著錄名稱、卷期、頁數 | Journal of Aeronautics, Astronautics and Aviation 46(3), p. 175–180 |
| 摘要 | This paper develops application artificial intelligence smart control system, the adaptive wavelet neural network (WNN) control (AWNNC) algorithm for multiple-input-multiple-output (MIMO) UAV landing gear. This AWNC comprises a WNN controller and a robust compensator. The WNN controller is a principal tracking controller utilized to mimic an ideal controller; and the parameters of WNN are on-line tuned by the derived adaptation laws based on the gradient descent method. The robust compensator is designed to dispel the approximation error between the ideal controller and the WNN controller. The robust compensator is designed to dispel the approximation error between the ideal controller and the WNN controller, so the asymptotic stability of the closed-loop system can be achieved. Finally, an UAV landing gear is performed to verify the effectiveness of the proposed control scheme. Simulation results verify that artificial intelligence AWNNC can achieve favorable tracking performance, hydraulic pressure control system without any chattering phenomenon. |
| 關鍵字 | Adaptive control; Wavelet neural network (WNN); UAV landing gear |
| 語言 | en |
| ISSN | |
| 期刊性質 | 國內 |
| 收錄於 | EI |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 否 |
| 國別 | TWN |
| 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/987654321/129902 ) |