Smooth sliding mode control for vehicle rollover prevention using active antiroll suspension
type: Item
instance of: scholarly article
title: Smooth sliding mode control for vehicle rollover prevention using active antiroll suspension
zbMATH Open document ID: 1394.93044
DOI: 10.1155/2015/478071
author: Duanfeng Chu
author: Xiaoyun Lu
author: Zhaozheng Hu
author: Ming Zhong
author: Chao-Zhong Wu
published in: Mathematical Problems in Engineering
publication date: 2018-08-27T00:00:00Z
review text: Summary: The rollover accidents induced by severe maneuvers are very dangerous and mostly happen to vehicles with elevated center of gravity, such as heavy-duty trucks and pickup trucks. Unfortunately, it is hard for drivers of those vehicles to predict and prevent the trend of the maneuver-induced (untripped) rollover ahead of time. In this study, a lateral load transfer ratio which reflects the load distribution of left and right tires is used to indicate the rollover criticality. An antiroll controller is designed with smooth sliding mode control technique for vehicles, in which an active antiroll suspension is installed. A simplified second order roll dynamic model with additive sector bounded uncertainties is used for control design, followed by robust stability analysis. Combined with the vehicle dynamics simulation package TruckSim, MATLAB/Simulink is used for simulating experiment. The results show that the applied controller can improve the roll stability under some typical steering maneuvers, such as Fishhook and J-turn. This direct antiroll control method could be more effective for untripped rollover prevention when driver deceleration or steering is too late. It could also be extended to handle tripped rollovers.
Mathematics Subject Classification ID: 93B12
zbMATH DE Number: 6926442
describes a project that uses: Simulink
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2015/478071
OpenAlex ID: W1545966651
Wikidata QID: Q59118688
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description: scientific article; zbMATH DE number 6926442