A new approach for modelling and control of two-wheel anti-lock brake systems

Anti-lock brake system is designed to actively improve the vehicle safety during hard braking. In this article, optimization-based braking pressure control laws for the front and rear wheels are analytically designed based on a non-linear two-axle vehicle model. The integral feedback technique is al...

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Bibliographic Details
Published in:Proceedings of the Institution of Mechanical Engineers. Part K, Journal of multi-body dynamics Journal of multi-body dynamics, 2011-06, Vol.225 (2), p.179-192
Main Authors: Mirzaeinejad, H, Mirzaei, M
Format: Article
Language:English
Subjects:
Antilock brakes
Antilock braking systems
Automobile safety
Automotive engineering
Automotive wheels
Braking systems
Control systems design
Control theory
Controllers
Dynamical systems
Laws
Modelling
Nonlinear control
Nonlinear dynamics
Nonlinearity
Road conditions
Robust control
Simulation
Studies
Tires
Trucks
Uncertainty
Vehicle safety
Vehicles
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Summary:Anti-lock brake system is designed to actively improve the vehicle safety during hard braking. In this article, optimization-based braking pressure control laws for the front and rear wheels are analytically designed based on a non-linear two-axle vehicle model. The integral feedback technique is also appended to the design method to increase the robustness of the controller in the presence of modelling uncertainties. In order to achieve the maximum braking force for each wheel at any time during braking, a new reference wheel slip model is presented to be tracked by the controller. In this model, the variations of tyre normal load and tyre/road condition are considered in finding the optimum slip of each wheel. The derived control laws are evaluated and their main features are discussed. Finally, the effectiveness of the proposed controller in tracking the new reference model is investigated and the obtained results are compared with the prevalent research results. The simulation studies demonstrate that the designed controller can successfully cope with the strong non-linearity and uncertainty existing in a vehicle dynamics model. Also, the vehicle stopping distance is remarkably reduced by the proposed approach.
ISSN:1464-4193
2041-3068
DOI:10.1177/2041306810394937