Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)

Research on Simulation of Anti-lock Braking System Based on MATLAB

Authors
Fengping Cao, Chunmei Chen, Lifa Zhou
Corresponding Author
Fengping Cao
Available Online May 2018.
DOI
10.2991/amcce-18.2018.147How to use a DOI?
Keywords
Anti-lock braking-system (ABS), Slip ratio, Vehicle model, Simulation analysis
Abstract

Anti-lock Braking System (ABS) is a system that automatically adjusts the braking force of the wheels when the vehicle is braking. It can prevent the wheels from locking to obtain the best braking effect, and improve the directional stability of the automobile. In the paper, the ABS system models based on Matlab were established, including single wheel vehicle model, tire model and vehicle braking system model. The Matlab/Simulink simulation environment was used to simulate the braking effect of a car with and without an ABS system by combining specific actual vehicle data. The simulation results confirm the validity and effectiveness of ABS.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)
Series
Advances in Engineering Research
Publication Date
May 2018
ISBN
10.2991/amcce-18.2018.147
ISSN
2352-5401
DOI
10.2991/amcce-18.2018.147How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Fengping Cao
AU  - Chunmei Chen
AU  - Lifa Zhou
PY  - 2018/05
DA  - 2018/05
TI  - Research on Simulation of Anti-lock Braking System Based on MATLAB
BT  - Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)
PB  - Atlantis Press
SP  - 839
EP  - 844
SN  - 2352-5401
UR  - https://doi.org/10.2991/amcce-18.2018.147
DO  - 10.2991/amcce-18.2018.147
ID  - Cao2018/05
ER  -