Proceedings of the 2017 2nd International Conference on Automation, Mechanical and Electrical Engineering (AMEE 2017)

MPC Based Driver's Intention Prediction Method for Vehicle Stability Control

Authors
Shunhang Zheng, Bangcheng Zhang, Shaosong Li, Luping Guo, Guodong Wang, Zheng Li, Xiaohui Lu
Corresponding Author
Shunhang Zheng
Available Online September 2017.
DOI
https://doi.org/10.2991/amee-17.2017.43How to use a DOI?
Keywords
model predictive control; vehicle stability control; active front steering
Abstract

Aiming at improving vehicle handling and stability performance, a model predictive control based vehicle yaw stability controller is designed via active front steering system. In this paper, the reference yaw rate is varied in each prediction horizon, which can predict the driver's intention. And the steering system constraint is also taken into account. The proposed MPC controller is verified on a Carsim simulation platform under the sinusoidal input test maneuver. Simulation results show the benefits of the control methodology used.

Copyright
© 2017, 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 2017 2nd International Conference on Automation, Mechanical and Electrical Engineering (AMEE 2017)
Series
Advances in Engineering Research
Publication Date
September 2017
ISBN
978-94-6252-393-7
ISSN
2352-5401
DOI
https://doi.org/10.2991/amee-17.2017.43How to use a DOI?
Copyright
© 2017, 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  - Shunhang Zheng
AU  - Bangcheng Zhang
AU  - Shaosong Li
AU  - Luping Guo
AU  - Guodong Wang
AU  - Zheng Li
AU  - Xiaohui Lu
PY  - 2017/09
DA  - 2017/09
TI  - MPC Based Driver's Intention Prediction Method for Vehicle Stability Control
BT  - Proceedings of the 2017 2nd International Conference on Automation, Mechanical and Electrical Engineering (AMEE 2017)
PB  - Atlantis Press
SP  - 209
EP  - 213
SN  - 2352-5401
UR  - https://doi.org/10.2991/amee-17.2017.43
DO  - https://doi.org/10.2991/amee-17.2017.43
ID  - Zheng2017/09
ER  -