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