教師資料查詢 | 類別: 期刊論文 | 教師: 許駿飛 Hsu, Chun-Fei (瀏覽個人網頁)

標題:Intelligent exponential sliding-mode control with uncertainty estimator for antilock braking systems
學年105
學期1
出版(發表)日期2016/08/01
作品名稱Intelligent exponential sliding-mode control with uncertainty estimator for antilock braking systems
作品名稱(其他語言)
著者Hsu, Chun-Fei
單位
出版者
著錄名稱、卷期、頁數Neural Computing and Applications 27(6) pp.1463-1475
摘要The purpose of the antilock braking system (ABS) is to regulate the wheel longitudinal slip at its optimum point in order to generate the maximum braking force; however, the vehicle braking dynamic is highly nonlinear. To relax the requirement of detailed system dynamics, this paper proposes an intelligent exponential sliding-mode control (IESMC) system for an ABS. A functional recurrent fuzzy neural network (FRFNN) uncertainty estimator is designed to approximate the unknown nonlinear term of ABS dynamics, and the parameter adaptation laws are derived in the sense of projection algorithm and Lyapunov stability theorem to ensure the stable control performance. Since the outputs of the functional expansion unit are used as the output weights of the FRFNN uncertainty estimator, the FRFNN can effectively capture the input–output dynamic mapping. In addition, a nonlinear reaching law, which contains an exponential term of sliding surface to smoothly adapt the variations of sliding surface, is designed to reduce the level of the chattering phenomenon. Finally, the simulation results demonstrate that the proposed IESMC system can achieve robustness slip tracking performance in different road conditions.
關鍵字Antilock braking system (ABS);Intelligent sliding-mode control;Exponential reaching;law;Fuzzy neural network;Functional neural network
語言英文
ISSN0941-0643;1433-3058
期刊性質國外
收錄於SCI;
產學合作
通訊作者Hsu, Chun-Fei
審稿制度
國別英國
公開徵稿
出版型式,電子版,紙本
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