Dynamic slip ratio estimation and control of antilock braking systems using an observer-based direct adaptive fuzzy-neural controller
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
國別 USA
公開徵稿
出版型式 ,電子版
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機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/115970 )