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Motion-Based Slide Correction Controller for Autonomous Vehicles

Thesis (MEng)--Stellenbosch University, 2026.

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Bibliographic Details
Main Author: Chetty, Brandon
Other Authors: Jordaan, H. W.
Format: Thesis
Language:English
Published: Stellenbosch : Stellenbosch University 2026
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access_status_str Open Access
author Chetty, Brandon
author2 Jordaan, H. W.
author_browse Chetty, Brandon
Jordaan, H. W.
author_facet Jordaan, H. W.
Chetty, Brandon
author_sort Chetty, Brandon
collection Thesis
dc_rights_str_mv Stellenbosch University
description Thesis (MEng)--Stellenbosch University, 2026.
format Thesis
id oai:scholar.sun.ac.za:10019.1/135679
institution Stellenbosch University (South Africa)
language English
last_indexed 2026-06-10T12:45:35.384Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository
publishDate 2026
publishDateRange 2026
publishDateSort 2026
publisher Stellenbosch : Stellenbosch University
publisherStr Stellenbosch : Stellenbosch University
record_format dspace
source_str SUNScholar — Stellenbosch University Repository
spelling oai:scholar.sun.ac.za:10019.1/135679 Motion-Based Slide Correction Controller for Autonomous Vehicles Chetty, Brandon Jordaan, H. W. Evans, B. D. Stellenbosch University. Faculty of Engineering. Dept. of Electrical & Electronic Engineering. Thesis (MEng)--Stellenbosch University, 2026. Chetty, B. 2026. Motion-Based Slide Correction Controller for Autonomous Vehicles. Unpublished masters thesis. Stellenbosch: Stellenbosch University [online]. Available: https://scholar.sun.ac.za/items/bdc356b5-8247-4165-b724-cd6c440eed55 The automotive industry has successfully deployed robust sliding stability control systems. However, the rapidly expanding and heterogeneous field of wheeled robotics lacks an equivalent, standardised solution for managing slides. Existing methods are often model-dependent, requiring extensive, platform-specific characterisation that is impractical at the scale of robotic development. This thesis addresses this gap by developing a universal, motion-based Slide Correction Controller (SCC) inspired by the intuitive, model-free techniques of skilled human drivers. The core philosophy is to correct slides by focusing on the vehicle’s observable kinematics rather than its underlying dynamics. The foundation of the SCC is a universal mathematical framework that defines a slide as the error between the vehicle’s actual and expected body motion, calculated from wheel kinematics (eslide = vactual − vmodelled). This platform-agnostic principle enables the detection of all primary slide types: wheel-lock, wheel-spin, oversteer, and understeer. The SCC architecture integrates two specialised modules: a Longitudinal Sliding Mode Controller (LSMC) that manages translational slip using non-linear control, and a Yaw Rate Controller (YRC) that addresses rotational slip through a novel, model-free implementa-tion of active counter-steering. High-fidelity simulation environments for two kinematically distinct platforms, a lightweight Ackermann-steered vehicle (RoboRacer) and a heavy differential-drive robot (Voyager), were developed. The SCC was created using these en-vironments, with systematic parameter tuning and robustness testing against variations in friction, mass, and vehicle geometry. The controller’s platform-agnostic design was tested by deploying the SCC, with minimal retuning. The YRC’s performance was validated on both real-world hardware platforms, where it successfully corrected slides induced by aggressive manoeuvres and external disturbances, confirming its cause-agnostic capabilities. The results demonstrate that the integrated SCC is essential for navigating complex, compound slide events (such as emergency avoidance manoeuvres or sudden friction transitions) where individual longitudinal or lateral controllers fail. This research concludes that the motion-based control philosophy provides an effective foundation for a universal slide correction system, offering a robust safety layer that can enhance the stability of a wide range of autonomous wheeled vehicles. Masters 2026-04-07T13:47:35Z 2026-04-07T13:47:35Z 2026-03 Thesis https://scholar.sun.ac.za/handle/10019.1/135679 en Stellenbosch University 156 pages : ill. application/pdf Stellenbosch : Stellenbosch University
spellingShingle Chetty, Brandon
Motion-Based Slide Correction Controller for Autonomous Vehicles
title Motion-Based Slide Correction Controller for Autonomous Vehicles
title_full Motion-Based Slide Correction Controller for Autonomous Vehicles
title_fullStr Motion-Based Slide Correction Controller for Autonomous Vehicles
title_full_unstemmed Motion-Based Slide Correction Controller for Autonomous Vehicles
title_short Motion-Based Slide Correction Controller for Autonomous Vehicles
title_sort motion based slide correction controller for autonomous vehicles
url https://scholar.sun.ac.za/handle/10019.1/135679
work_keys_str_mv AT chettybrandon motionbasedslidecorrectioncontrollerforautonomousvehicles