Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/81357
Title: Fuzzy sliding mode wheel slip ratio control for smart vehicle anti-lock braking system
Authors: Sun, JH 
Xue, XD 
Cheng, KWE 
Keywords: Anti-lock braking system (ABS)
Anti-lock braking controller (CAB)
Fuzzy control
PID control
Sliding mode wheel slip ratio controller (SMWSC)
Issue Date: 2019
Publisher: Molecular Diversity Preservation International (MDPI)
Source: Energies, 1 July 2019, v. 12, no. 13, 2501, p. 1-22 How to cite?
Journal: Energies 
Abstract: With the development of in-wheel technology (IWT), the design of the electric vehicles (EV) is getting much improved. The anti-lock braking system (ABS), which is a safety benchmark for automotive braking, is particularly important. Installing the braking motor at each fixed position of the wheel improves the intelligent control of each wheel. The nonlinear ABS with robustness performance is highly needed during the vehicle's braking. The anti-lock braking controller (CAB) designed in this paper considered the well-known adhesion force, the resistance force from air and the wheel rolling friction force, which bring the vehicle model closer to the real situation. A sliding mode wheel slip ratio controller (SMWSC) is proposed to yield anti-lock control of wheels with an adaptive sliding surface. The vehicle dynamics model is established and simulated with consideration of different initial braking velocities, different vehicle masses and different road conditions. By comparing the braking effects with various CAB parameters, including stop distance, braking torque and wheel slip ratio, the SMWSC proposed in this paper has superior fast convergence and stability characteristics. Moreover, this SMWSC also has an added road-detection module, which makes the proposed braking controller more intelligent. In addition, the important brain of this proposed ABS controller is the control algorithm, which can be used in all vehicles' ABS controller design.
URI: http://hdl.handle.net/10397/81357
EISSN: 1996-1073
DOI: 10.3390/en12132501
Rights: © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
The following publication Sun, J.; Xue, X.; Cheng, K.W.E. Fuzzy Sliding Mode Wheel Slip Ratio Control for Smart Vehicle Anti-Lock Braking System. Energies 2019, 12, 2501, 1-22 is available at https://dx.doi.org/10.3390/en12132501
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