DocumentCode :
441649
Title :
Multiple Model Adaptive Control of Antilock Brake System via Backstepping Approach
Author :
Wang, Ren-Guang ; Liu, Zhao-Du ; Qi, Zhi-Quan ; Ma, Yue-Feng ; Cui, Hai-Feng
Author_Institution :
National Lab of Auto Performance and Emission Test, Beijing Institute of Technology, Beijing 100081, China; Department of Automotive Engineering, Tianjin University of Technology and Education, Tianjin 300222, China E-MAIL: wangrenguang@bit.edu.cn
Volume :
1
fYear :
2005
fDate :
18-21 Aug. 2005
Firstpage :
591
Lastpage :
595
Abstract :
Application of multiple model adaptive control (MMAC) approach in the anti-lock brake system (ABS) was discussed. The design process of ABS MMAC controllers via Backstepping approach was presented. The high adhesion fixed model, medium adhesion fixed model, low adhesion fixed model and adaptive model were four models used in MMAC. The switching rules of different model controllers were also presented. Simulation was conduced for ABS control system using MMAC method basing on quarter vehicle model. Results show this method can control wheel slip ratio more accurately, and has higher robustness, therefore it improve ABS performance effectively.
Keywords :
Antilock Brake System; Backstepping Approach; Multiple Model Adaptive Control; Adaptive control; Adhesives; Backstepping; Educational technology; Optimal control; Process design; Sliding mode control; Tires; Vehicles; Wheels; Antilock Brake System; Backstepping Approach; Multiple Model Adaptive Control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
Type :
conf
DOI :
10.1109/ICMLC.2005.1527013
Filename :
1527013
Link To Document :
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