Watson, Matthew T (2019) The Collinear Mecanum Drive. PhD thesis, University of Sheffield.
Abstract
This thesis focuses on the modelling, analysis, and control of a novel robot locomotion system known as the Collinear Mecanum Drive (CMD). The CMD utilises three or more collinear Mecanum wheels to generate omnidirectional motion, whilst simultaneously dynamically balancing. By dynamically balancing, the ground footprint of a robot utilising a CMD can be designed to be arbitrarily thin, only lower bounded by choice of wheel diameter. The omnidirectional manoeuvrability of the CMD in combination with this narrow footprint allows for the navigation of much smaller gaps between obstacles than existing omnidirectional locomotion methods, achieved by translating directly along the common wheel rotation axis. This provides improved manoeuvrability in confined or cluttered environments. Being a dynamically balanced system, the height of the center of mass of a robot driven by a CMD can be increased without requiring a proportional increase in the width of the ground footprint so as to avoid toppling during acceleration or disturbance, as would be the case for existing statically stable omnidirectional locomotion methods. The CMD therefore promises to enable the creation of tall, space-efficient robots of more human-like form factors, that are better able to navigate the confined and cluttered environments commonly encountered in the home, office, and retail personal robotics sectors, and in the manufacturing and warehousing mobile industrial robotics sectors. This thesis derives and analyses the CMD's kinematics and dynamics models, explores a variety of control approaches, and develops the trajectory planning methods necessary for the autonomous navigation of an environment. It is hoped that this locomotion technology will see application across a range of existing and future mobile robotics sectors.
Metadata
Supervisors: | Gladwin, Daniel T and Prescott, Tony J |
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Awarding institution: | University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Electronic and Electrical Engineering (Sheffield) |
Identification Number/EthosID: | uk.bl.ethos.800569 |
Depositing User: | Dr Matthew T Watson |
Date Deposited: | 23 Mar 2020 10:33 |
Last Modified: | 01 May 2023 09:53 |
Open Archives Initiative ID (OAI ID): | oai:etheses.whiterose.ac.uk:26337 |
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