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

DOI

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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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  - 10.2991/amee-17.2017.43
ID  - Zheng2017/09
ER  -