Dynamic slip ratio estimation and control of antilock braking systems using an observer-based direct adaptive fuzzy-neural controller | |
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學年 | 97 |
學期 | 1 |
出版(發表)日期 | 2008-11-18 |
作品名稱 | Dynamic slip ratio estimation and control of antilock braking systems using an observer-based direct adaptive fuzzy-neural controller |
作品名稱(其他語言) | |
著者 | W. Y. Wang; I.H. Li; M.C. Chen; S. F. Su; S. B. Hsu |
單位 | |
出版者 | |
著錄名稱、卷期、頁數 | IEEE Transactions on Industrial Electronics 56(5), p.1746-1756 |
摘要 | This paper proposes an antilock braking system (ABS), in which unknown road characteristics are resolved by a road estimator. This estimator is based on the LuGre friction model with a road condition parameter and can transmit a reference slip ratio to a slip-ratio controller through a mapping function. The slip-ratio controller is used to maintain the slip ratio of the wheel at the reference values for various road surfaces. In the controller design, an observer-based direct adaptive fuzzy-neural controller (DAFC) for an ABS is developed to online-tune the weighting factors of the controller under the assumption that only the wheel slip ratio is available. Finally, this paper gives simulation results of an ABS with the road estimator and the DAFC, which are shown to provide good effectiveness under varying road conditions. |
關鍵字 | Control systems;Programmable control;Adaptive control;Roads;Wheels;Friction;Tires;Vehicles;Driver circuits;Councils |
語言 | en |
ISSN | 0278-0046 |
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 | USA |
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/987654321/115970 ) |