LAPSE:2023.23631
Published Article
LAPSE:2023.23631
Optimization of Vehicle Braking Distance Using a Fuzzy Controller
March 27, 2023
The paper presents the study of an anti-lock braking system (ABS) that has been complemented by a fuzzy controller. The fuzzy controller was used to improve the braking performance of the vehicle, particularly in critical situations, for example, when braking a vehicle on wet road. The controller for the ABS was designed in the MATLAB/Simulink program. The designed controller was simulated on a medium-size vehicle model. During testing, three braking systems were simulated on the vehicle model. We compared the performance of a braking system without an ABS, a system with a threshold-based conventional ABS, and a braking system with the proposed ABS with a fuzzy controller. These three braking systems were simulation tested during braking the vehicle on a dry straight road and on a road with combined road adhesion. A maneuverability test was conducted, where the vehicle had to avoid an obstacle while braking. The results of each test are provided at the end of the paper.
Keywords
anti-lock braking system, controller, fuzzy logic system, Simulation, vehicle
Suggested Citation
Girovský P, Žilková J, Kaňuch J. Optimization of Vehicle Braking Distance Using a Fuzzy Controller. (2023). LAPSE:2023.23631
Author Affiliations
Girovský P: Department of Electrical Engineering and Mechatronics, Faculty of Electrical Engineering and Informatics, Technical University of Košice, Letná 9, 042 00 Košice, Slovakia [ORCID]
Žilková J: Department of Electrical Engineering and Mechatronics, Faculty of Electrical Engineering and Informatics, Technical University of Košice, Letná 9, 042 00 Košice, Slovakia [ORCID]
Kaňuch J: Department of Electrical Engineering and Mechatronics, Faculty of Electrical Engineering and Informatics, Technical University of Košice, Letná 9, 042 00 Košice, Slovakia [ORCID]
Journal Name
Energies
Volume
13
Issue
11
Article Number
E3022
Year
2020
Publication Date
2020-06-11
Published Version
ISSN
1996-1073
Version Comments
Original Submission
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PII: en13113022, Publication Type: Journal Article
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LAPSE:2023.23631
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doi:10.3390/en13113022
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Mar 27, 2023
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Mar 27, 2023
 
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