Integrated chassis control for vehicle rollover prevention with neural network time-to-rollover warning metrics

Bing Zhu,Litong Guo,Jian Zhao,Qi Piao

doi:10.1177/1687814016632679

Abstract

The rollover of road vehicles is one of the most serious problems related to transportation safety. In this article, a novel rollover prevention control system composed of rollover warning and integrated chassis control algorithm is proposed. First, a conventional time-to-rollover warning algorithm was presented based on the 3-degree of freedom vehicle model. In order to improve the precision of vehicle rollover prediction, a back-propagation neural network was adopted to regulate time to rollover online by considering multi-state parameters of the vehicle. Second, a rollover prevention algorithm based on integrated chassis control was investigated, where the active front steering and the active yaw moment control were coordinated by model predictive control methodology. Finally, the algorithms were evaluated under several typical maneuvers utilizing MATLAB/Simulink and Carsim co-simulation. The results show that the proposed neural network time-to-rollover metrics can be a good measure of the danger of rollover, and the roll stability of the simulated vehicle is improved significantly with reduced side slip angle and yaw rate by the proposed integrated chassis control rollover prevention system.

Highlights

Rollover is an important safety issue for the vehicles with higher center of gravity (CG), such as sport utility vehicles (SUVs), trucks, and pickup vans
Based on the accurate detection of TTR, the vehicles are actively controlled for rollover prevention by the differential braking system based on rule-based distribution strategy of the direct yaw moment and the active steering system which are coordinated by model predictive control (MPC) theory
The actual and expected side slip angles and yaw rate are selected as the inputs of the MPC controller, and the outputs are expected active yaw moment and front steering angle

Summary

Introduction

Rollover is an important safety issue for the vehicles with higher center of gravity (CG), such as sport utility vehicles (SUVs), trucks, and pickup vans. The independent braking control provides the additional yaw moment on a vehicle body and is good at reducing the lateral acceleration and the roll angle. The LTR is selected as the RI, and a 3degree of freedom (3-DOF) rollover vehicle model and a TTR-based rollover warning algorithm are established.

Results

Conclusion