Study on Vehicle Rollover Prevention and Ride Comfort Based on AARB

DOI

10.2991/icimm-16.2016.114How to use a DOI?

Keywords

AARB; rollover; LQG; Particle Swarm; ride comfort; optimization; dynamic model; simulation;

Abstract

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.

Copyright

© 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/).

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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  - 10.2991/icimm-16.2016.114
ID  - Chen2016/11
ER  -