MPC Based Driver's Intention Prediction Method for Vehicle Stability Control
Shunhang Zheng, Bangcheng Zhang, Shaosong Li, Luping Guo, Guodong Wang, Zheng Li, Xiaohui Lu
Available Online September 2017.
- 10.2991/amee-17.2017.43How to use a DOI?
- model predictive control; vehicle stability control; active front steering
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.
- © 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 - 10.2991/amee-17.2017.43 ID - Zheng2017/09 ER -