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Real-time Non-linear Vehicle Preview Model

Dissertation (MEng)--University of Pretoria, 2015.

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Other Authors: Els, P.S. (Pieter Schalk)
Format: Thesis
Language:English
Published: University of Pretoria 2015
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access_status_str Open Access
author2 Els, P.S. (Pieter Schalk)
author_browse Els, P.S. (Pieter Schalk)
author_facet Els, P.S. (Pieter Schalk)
collection Thesis
dc_rights_str_mv © 2015 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Dissertation (MEng)--University of Pretoria, 2015.
format Thesis
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institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:39:35.267Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2015
publishDateRange 2015
publishDateSort 2015
publisher University of Pretoria
publisherStr University of Pretoria
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/45960 Real-time Non-linear Vehicle Preview Model Els, P.S. (Pieter Schalk) Linström, Bernard Villiers UCTD Non-linear Vehicle Model Real-time Control Preview model Engineering, built environment and information technology theses SDG-09 SDG-09: Industry, innovation and infrastructure Engineering, built environment and information technology theses SDG-11 SDG-11: Sustainable cities and communities Engineering, built environment and information technology theses SDG-12 SDG-12: Responsible consumption and production Dissertation (MEng)--University of Pretoria, 2015. Sport Utility Vehicles are designed to be used on both smooth roads and rough off-road terrains. These vastly different operating conditions require vehicle and suspension parameters that lie at opposite ends of the design space. Harder suspension is required for adequate handling on smooth roads and softer suspension, combined with large ground clearance, allows for improved ride comfort and off-road capability. This causes a compromise in the suspension setup. As a result of the typically softer suspension, as well higher centre of gravity, compared to passenger vehicles, SUVs are more prone to rollover. This motivates researchers to find methods of improving the handling of Sport Utility Vehicles, which in turn would decrease the number of rollover accidents involving these vehicles. The proposed methods include, amongst others, the use of active anti-roll bars, slow-active, semi-active and active suspension. The control strategies of most of these methods are based on the current vehicle state, giving them the same downfall, which is a delay in switching. To eliminate this delay, some type of preview is required. A non-linear vehicle preview model that solves in real-time was developed and implemented on the Land Rover Defender 110. The vehicle preview model is capable of predicting vehicle states up to (limited by the current processor) with good accuracy. The predicted states can then be used as an input to a control system or the model can be used as a state estimator. Even though there are numerous possible applications of the vehicle preview model, it was only implemented in one existing suspension control system, known as the Running Root Mean Square strategy. This strategy compares the measured lateral and vertical accelerations of the vehicle to decide on the suitable suspension setting. This strategy has a delay of about ms. When the predicted lateral acceleration was used as an input to the existing suspension control strategy, the delay in switching was reduced and improvements in vehicle handling of up to was achieved over a variety of tests. tm2015 mi2025 Mechanical and Aeronautical Engineering MEng Unrestricted SDG-09: Industry, innovation and infrastructure SDG-11: Sustainable cities and communities SDG-12: Responsible consumption and production 2015-07-02T11:06:11Z 2015-07-02T11:06:11Z 2015/04/23 2015 Dissertation Linström, BV 2015, Real-time Non-linear Vehicle Preview Model, MEng Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/45960> A2015 http://hdl.handle.net/2263/45960 en © 2015 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle UCTD
Non-linear Vehicle Model
Real-time Control
Preview model
Engineering, built environment and information technology theses SDG-09
SDG-09: Industry, innovation and infrastructure
Engineering, built environment and information technology theses SDG-11
SDG-11: Sustainable cities and communities
Engineering, built environment and information technology theses SDG-12
SDG-12: Responsible consumption and production
Real-time Non-linear Vehicle Preview Model
title Real-time Non-linear Vehicle Preview Model
title_full Real-time Non-linear Vehicle Preview Model
title_fullStr Real-time Non-linear Vehicle Preview Model
title_full_unstemmed Real-time Non-linear Vehicle Preview Model
title_short Real-time Non-linear Vehicle Preview Model
title_sort real time non linear vehicle preview model
topic UCTD
Non-linear Vehicle Model
Real-time Control
Preview model
Engineering, built environment and information technology theses SDG-09
SDG-09: Industry, innovation and infrastructure
Engineering, built environment and information technology theses SDG-11
SDG-11: Sustainable cities and communities
Engineering, built environment and information technology theses SDG-12
SDG-12: Responsible consumption and production
url http://hdl.handle.net/2263/45960