Identification of vehicle rollover conditions and active roll control strategies

This research presents the development of active roll control strategies to prevent vehicle rollover. The dynamic model representing the vehicle behaviour was first developed and then modelled in Matlab/SIMULINK environment. The tire model integrated to the vehicle model was represented using look u...

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Main Author:	Phuman Singh, Amrik Sing
Format:	Thesis
Language:	English
Published:	2012
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://eprints.utm.my/id/eprint/32161/16/AmriksinghphumansinghMFKM2012.pdf
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id	my-utm-ep.32161
record_format	uketd_dc
spelling	my-utm-ep.321612018-05-27T07:42:23Z Identification of vehicle rollover conditions and active roll control strategies 2012-01 Phuman Singh, Amrik Sing TJ Mechanical engineering and machinery This research presents the development of active roll control strategies to prevent vehicle rollover. The dynamic model representing the vehicle behaviour was first developed and then modelled in Matlab/SIMULINK environment. The tire model integrated to the vehicle model was represented using look up table method. The validity of the vehicle model was verified using CarSim software for double lane change and fishhook manoeuvres. The validation results show strong agreement between the vehicle model and CarSim software. Parametric study was done to investigate the effect of the driver inputs and vehicle parameters on the roll behavior of the vehicle. The effect of the variation of these properties on the vehicle roll angle and load transfer ratio was discussed. Two fuzzy logic based active roll control schemes were developed using active suspension and active front steering. For active roll control using active suspension, the effectiveness of feedforward fuzzy and combination of feedback and feedforward fuzzy in reducing the rollover propensity were evaluated. For active front steering, feedback fuzzy control was incorporated with the vehicle model to assess the performance of the active front steering in reducing vehicle rollover propensity for fishhook and step steer manoeuvres. Both of the proposed control strategies had shown significant enhancement in avoiding vehicle rollover and hence improving the safety of vehicle occupants. 2012-01 Thesis http://eprints.utm.my/id/eprint/32161/ http://eprints.utm.my/id/eprint/32161/16/AmriksinghphumansinghMFKM2012.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Mechanical Engineering Faculty of Mechanical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Phuman Singh, Amrik Sing Identification of vehicle rollover conditions and active roll control strategies
description	This research presents the development of active roll control strategies to prevent vehicle rollover. The dynamic model representing the vehicle behaviour was first developed and then modelled in Matlab/SIMULINK environment. The tire model integrated to the vehicle model was represented using look up table method. The validity of the vehicle model was verified using CarSim software for double lane change and fishhook manoeuvres. The validation results show strong agreement between the vehicle model and CarSim software. Parametric study was done to investigate the effect of the driver inputs and vehicle parameters on the roll behavior of the vehicle. The effect of the variation of these properties on the vehicle roll angle and load transfer ratio was discussed. Two fuzzy logic based active roll control schemes were developed using active suspension and active front steering. For active roll control using active suspension, the effectiveness of feedforward fuzzy and combination of feedback and feedforward fuzzy in reducing the rollover propensity were evaluated. For active front steering, feedback fuzzy control was incorporated with the vehicle model to assess the performance of the active front steering in reducing vehicle rollover propensity for fishhook and step steer manoeuvres. Both of the proposed control strategies had shown significant enhancement in avoiding vehicle rollover and hence improving the safety of vehicle occupants.
format	Thesis
qualification_level	Master's degree
author	Phuman Singh, Amrik Sing
author_facet	Phuman Singh, Amrik Sing
author_sort	Phuman Singh, Amrik Sing
title	Identification of vehicle rollover conditions and active roll control strategies
title_short	Identification of vehicle rollover conditions and active roll control strategies
title_full	Identification of vehicle rollover conditions and active roll control strategies
title_fullStr	Identification of vehicle rollover conditions and active roll control strategies
title_full_unstemmed	Identification of vehicle rollover conditions and active roll control strategies
title_sort	identification of vehicle rollover conditions and active roll control strategies
granting_institution	Universiti Teknologi Malaysia, Faculty of Mechanical Engineering
granting_department	Faculty of Mechanical Engineering
publishDate	2012
url	http://eprints.utm.my/id/eprint/32161/16/AmriksinghphumansinghMFKM2012.pdf
_version_	1747815936254017536

Identification of vehicle rollover conditions and active roll control strategies

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