<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-21T07:22:31Z</responseDate><request verb="GetRecord" identifier="oai:dora.dmu.ac.uk:2086/10684" metadataPrefix="uketd_dc">https://dora.dmu.ac.uk/server/oai/request</request><GetRecord><record><header><identifier>oai:dora.dmu.ac.uk:2086/10684</identifier><datestamp>2019-04-13T02:05:20Z</datestamp><setSpec>com_2086_2388</setSpec><setSpec>col_2086_2389</setSpec></header><metadata><uketd_dc:uketddc xmlns:uketd_dc="http://naca.central.cranfield.ac.uk/ethos-oai/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:uketdterms="http://naca.central.cranfield.ac.uk/ethos-oai/terms/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://naca.central.cranfield.ac.uk/ethos-oai/2.0/ http://naca.central.cranfield.ac.uk/ethos-oai/2.0/uketd_dc.xsd">
   <dc:title>A high speed scanning system for vision based navigation/control of mobile robots.</dc:title>
   <dc:creator>Rubtsov, Vasily</dc:creator>
   <dcterms:abstract>One of the main problems in the design of mobile robots is the development of creating smart&#xd;
integrated information systems. These systems may include different type of sensors. Usually&#xd;
a CeD vision system is a necessary part for these systems. This thesis considers the design of&#xd;
a fast mechanical scanning system for a CCD vision system and the synthesis of the optimal&#xd;
control for this system.&#xd;
The mathematical model of the transport subsystem for mobile robots subjected to an external&#xd;
disturbance is created. The correctness of this model is proved on the base of simulation and&#xd;
experimental results. Regression coefficients are calculated and an estimate of model&#xd;
accuracy is carried out.&#xd;
The approach of power calculation for the actuators for the fast mechanical scanning system&#xd;
is considered. Implementation of this approach extends the use of a general mathematical&#xd;
model of the transport subsystem of the mobile robot and as such considerably reduces the&#xd;
design time.&#xd;
The main features for estimation of external disturbances are determined. Limitations of&#xd;
implementation of some technical solutions for mobile robot sensors are defined according to&#xd;
an analysis conducted of different factors for external disturbances.&#xd;
Di~erent kinematic schemes of the scanning systems have been analysed in this thesis.&#xd;
Practical recommendations of the kinematic scheme used in scanning systems are given. The&#xd;
essential features of a kinematic scheme for the fast mechanical scanning system have been&#xd;
developed and verified.&#xd;
A method for the solution of the inverse kinematics of a 3 degree of freedom scanning system&#xd;
in terms of velocities and in accelerations is presented. This method is utilised for formulating&#xd;
optimal control for the fast mechanical scanning system.&#xd;
11 v ASlLY RUBrsov PHD· THESIS&#xd;
The algorithms of fast scanning have been produced for the different types of the sensors. The&#xd;
limitations for the practical realisations for these algorithms are considered in this thesis.&#xd;
The optimal control algorithms for the developed scanning system are produced. This control&#xd;
minimises the sum of instant powers of the scanning system actuators. A practical algorithm has&#xd;
been derived utilising the control scheme structure developed theoretically. The capability of this&#xd;
control algorithm has been proved by experimental study. Advantages of this developed control&#xd;
algorithm for 3 degree scanning system has been proven by experimentation.</dcterms:abstract>
   <uketdterms:institution>De Montfort University</uketdterms:institution>
   <dcterms:issued>1998</dcterms:issued>
   <dc:type>Thesis or dissertation</dc:type>
   <uketdterms:qualificationlevel>Doctoral</uketdterms:qualificationlevel>
   <uketdterms:qualificationname>PhD</uketdterms:qualificationname>
   <dc:language xsi:type="dcterms:ISO639-2">en</dc:language>
   <dcterms:isReferencedBy>http://hdl.handle.net/2086/10684</dcterms:isReferencedBy>
   <dcterms:license>https://dora.dmu.ac.uk/bitstreams/9f4ec986-a99d-4213-b1e8-6cb4f6f9e84f/download</dcterms:license>
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   <dc:identifier xsi:type="dcterms:URI">https://dora.dmu.ac.uk/bitstreams/1543c98b-0844-403e-b4c4-eff00bdb3683/download</dc:identifier>
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   <dcterms:hasFormat>https://dora.dmu.ac.uk/bitstreams/4c77035d-2cf9-4d84-ae7a-a6d356c3fb7f/download</dcterms:hasFormat>
   <uketdterms:checksum xsi:type="uketdterms:MD5">90d5dcc26841a613ede14a682c815f97</uketdterms:checksum>
   <dc:subject xsi:type="dcterms:DDC">621.3994 006.4 621.367 629.892</dc:subject>
   <dc:subject xsi:type="dcterms:LCSH">Pattern recognition systems Pattern perception Image processing Robotics</dc:subject>
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