MPC Controller Design For Low Frequency Vehicle Longitudinal Vibration Suppression
- DOI
- 10.2991/caai-17.2017.25How to use a DOI?
- Keywords
- low frequency longitudinal vibration; model predictive control; variable weights
- Abstract
The low frequency longitudinal vibration is one of the key factors that affect the drivability. Therefore, the analysis and control of the low frequency longitudinal vibration of the vehicle has always been a key issue in the vehicle Vibration and Harshness (NVH). In this paper, a new active control strategy for motor torque compensation is proposed to apply to the driveline's counterforce so as to realize the active suppression of low frequency vehicle longitudinal vibration. In the MPC controller, reasonable parameter selection can improve not only the system's closed-loop performance, but also its stability and robustness. Based on the design of vehicle low frequency longitudinal vibration controller, we choose and design some important control parameters (e.g., prediction time domain, control time domain and weighting factor) to assure the MPC controller achieve the best performance. Besides, we also study the impact of different control parameters by its results, finding out the general impact of the law. The simulation results show that the variable weights MPC controller can achieve better performance by selecting MPC controller parameters reasonably.
- 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 - Ting Zhang AU - Ying Huang AU - Peilin Dai AU - Donghao Hao PY - 2017/06 DA - 2017/06 TI - MPC Controller Design For Low Frequency Vehicle Longitudinal Vibration Suppression BT - Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017) PB - Atlantis Press SP - 123 EP - 129 SN - 1951-6851 UR - https://doi.org/10.2991/caai-17.2017.25 DO - 10.2991/caai-17.2017.25 ID - Zhang2017/06 ER -