Study on Vehicle Rollover Prevention and Ride Comfort Based on AARB
- https://doi.org/10.2991/icimm-16.2016.114How to use a DOI?
- AARB; rollover; LQG; Particle Swarm; ride comfort; optimization; dynamic model; simulation;
When interfered by lateral acceleration or uneven road surface, a vehicle is prone to rollover. In this paper, the active anti-roll bar (hereinafter AARB) is self-designed and a six-degree-of-freedom vehicle dynamic model is established for rollover prevention and ride comfort improvement. In order to prevent the rollover and ensure the ride comfort of the vehicle, the linear quadratic (LQ) optimal controller is designed and the weights of the controller are optimized by particle swarm optimization algorithm (PSO). Furthermore, this paper carries out a series of simulation experiments which test the validity of the proposed control strategy in the aspects of body vertical acceleration, roll angle acceleration, roll rate, roll angle, vertical displacement of the suspension and tires, and AARB roll moment. Stimulations show that the method is effective in preventing the rollover and ensuring the ride comfort of a vehicle.
- © 2016, 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 - Song Chen AU - Changgao Xia AU - Shengyong Li AU - Xu Sun PY - 2016/11 DA - 2016/11 TI - Study on Vehicle Rollover Prevention and Ride Comfort Based on AARB BT - Proceedings of the 6th International Conference on Information Engineering for Mechanics and Materials PB - Atlantis Press SP - 634 EP - 642 SN - 2352-5401 UR - https://doi.org/10.2991/icimm-16.2016.114 DO - https://doi.org/10.2991/icimm-16.2016.114 ID - Chen2016/11 ER -