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

Research on Commercial Vehicle Electronic Stability Control

Authors
Changlu Zhang, Jingming Zhang, Hao Zhang, Chengqiang Zong, Hongwei Zhang
Corresponding Author
Changlu Zhang
Available Online May 2018.
DOI
10.2991/amcce-18.2018.19How to use a DOI?
Keywords
commercial vehicles, electronic stability control, fuzzy PID control, wheel selection algorithm, trucksim, co-simulation.
Abstract

Based on the application of Electronic Stability Control in commercial vehicles, this paper proposes a control strategy on account of fuzzy PID control algorithm, and designs upper and lower double-layer controllers. The upper controller takes the error and change error of vehicle yaw rate as the input to design a yaw rate fuzzy PID controller, and takes the error and change error of vehicle slip-angle as the input to design a slip-angle fuzzy PID controller. The ∆Mγ and ∆Mβ as the output of the yaw rate fuzzy PID controller and slip-angle fuzzy PID controller are calculated by the weighted module to calculate the additional yaw moment ?"M. The lower controller designs brake wheel selection module and brake force distribution module based on Matlab / Stateflow. With the co-simulation environment of Trucksim and Matlab/ Simulink, the paper conducts the typical condition simulation and evaluates the results. The results show that the dynamic response of yaw rate and slip-angle is improved when the vehicle, that is on the basis of the ESC control strategy designed in this paper, is undergoing simulation, which improves the driving stability of vehicles with low adhesion coefficient pavement.

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/).

Download article (PDF)

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
978-94-6252-508-5
ISSN
2352-5401
DOI
10.2991/amcce-18.2018.19How 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  - Changlu Zhang
AU  - Jingming Zhang
AU  - Hao Zhang
AU  - Chengqiang Zong
AU  - Hongwei Zhang
PY  - 2018/05
DA  - 2018/05
TI  - Research on Commercial Vehicle Electronic Stability Control
BT  - Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)
PB  - Atlantis Press
SP  - 105
EP  - 110
SN  - 2352-5401
UR  - https://doi.org/10.2991/amcce-18.2018.19
DO  - 10.2991/amcce-18.2018.19
ID  - Zhang2018/05
ER  -