Citation

Qasem, Gehad Ali Abdulrahman and Abdullah, Mohammed Fadhl and Farid Ebrahim, Ramadhan Mazen and Bakhuraisa, Yaser Awadh (2025) Enhancing Anti-Lock Braking System Performance Using Fuzzy Logic Control Under Variable Friction Conditions. Symmetry, 17 (10). p. 1692. ISSN 2073-8994

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Abstract

Anti-lock braking systems (ABSs) play a vital role in vehicle safety by preventing wheel lockup and maintaining stability during braking. However, their performance is strongly affected by variations in tire–road friction, which often limits the effectiveness of conventional controllers. This research proposes and evaluates a fuzzy logic controller (FLC)-based ABS using a quarter-vehicle model and the Burckhardt tire–road interaction, implemented in MATLAB/Simulink. Two input variables (slip error and slip rate) and one output variable (brake pressure adjustment) were defined, with triangular and trapezoidal membership functions and 15 linguistic rules forming the control strategy. Simulation results under diverse road conditions—including dry asphalt, concrete, wet asphalt, snow, and ice—demonstrate substantial performance gains. On high- and medium-friction surfaces, stopping distance and stopping time were reduced by more than 30–40%, while improvements of up to 25% were observed on wet surfaces. Even on snow and ice, the system maintained consistent, albeit modest, benefits. Importantly, the proposed FLC–ABS was benchmarked against two recent studies: one reporting that an FLC reduced stopping distance to 258 m in 15 s compared with 272 m in 15.6 s using PID, and another where PID outperformed an FLC, achieving 130.21 m in 9.67 s against 280.03 m in 16.76 s. In contrast, our system achieved a stopping distance of only 24.41 m in 7.87 s, representing over a 90% improvement relative to both studies. These results confirm that the proposed FLC–ABS not only demonstrates clear numerical superiority but also underscores the importance of rigorous modeling and systematic controller design, offering a robust and effective solution for improving braking efficiency and vehicle safety across diverse road conditions.

Item Type:	Article
Uncontrolled Keywords:	ABS, braking performance stopping distance, friction coefficients, fuzzy logic control, simulation, stability, wheel slip
Subjects:	T Technology > TL Motor vehicles. Aeronautics. Astronautics
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Nurin Syazwani Azmi
Date Deposited:	10 Nov 2025 00:50
Last Modified:	10 Nov 2025 03:28
URII:	http://shdl.mmu.edu.my/id/eprint/14796

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