To ensure steering ability and maximize tire-road friction, a robust wheel slip controller is developed for antilock braking system, which is also adaptive to different road conditions. Aiming at the problem of vehicle velocity estimation, a dynamic and kinematic fusion method is proposed. Meanwhile, a non-affine parameter estimator is adopted to estimate road condition using improved Burckhardt model, the optimal target slip ratio is adaptive adjusted according to the estimate road condition. Then conditional integration method is used to make the wheel slip ratio converge to the desired value considering the uncertainty of parameters and constraints of actuators. Finally, simulation results under multi working conditions show that the proposed control approach is adaptive to road change and good performance is achieved that can prevent wheels from locking effectively.
Robust Adaptive Anti-lock Braking Controller Design
Lect.Notes Mechanical Engineering
The IAVSD International Symposium on Dynamics of Vehicles on Roads and Tracks ; 2019 ; Gothenburg, Sweden August 12, 2019 - August 16, 2019
2020-02-13
8 pages
Article/Chapter (Book)
Electronic Resource
English
Robust Adaptive Anti-lock Braking Controller Design
TIBKAT | 2020
|Control method and controller for vehicle anti-lock braking system and anti-lock braking system
European Patent Office | 2024
|Neuro-fuzzy controller design of the Anti-lock Braking System
Tema Archive | 1998
|Tema Archive | 1979
Automotive engineering | 1974
|