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Investigation of a hybrid switching control system

Bibliography: pages 84-86.

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Main Author: Narożny, Jacek Andrzej
Other Authors: Braae, Martin
Format: Thesis
Language:English
Published: Department of Electrical Engineering 2016
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access_status_str Open Access
author Narożny, Jacek Andrzej
author2 Braae, Martin
author_browse Braae, Martin
Narożny, Jacek Andrzej
author_facet Braae, Martin
Narożny, Jacek Andrzej
author_sort Narożny, Jacek Andrzej
collection Thesis
description Bibliography: pages 84-86.
format Thesis
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institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:34:53.775Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2016
publishDateRange 2016
publishDateSort 2016
publisher Department of Electrical Engineering
publisherStr Department of Electrical Engineering
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source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/20448 Investigation of a hybrid switching control system Narożny, Jacek Andrzej Braae, Martin Electrical Engineering Bibliography: pages 84-86. A servo motor is to be used to position the cutting arm in a hypothetical pattern generation application. The motor is controlled in closed-loop in order to track, with zero asymptotic error, a reference signal represented by either a sinusoidal, triangular, or square wave. In addition, the schedule of reference signal type changes is not known a priori and the controlled system must achieve asymptotic tracking without operator intervention. As no simple single controller can satisfy these requirements for all setpoint types, a Hybrid Switching Control System is proposed which combines intuitive logic with standard control techniques. Under the guidance of a simple supervisor, the controller corresponding to each type of setpoint is switched in and out of the active feedback loop as required. A simple Multi-layer Perceptron neural network was selected to identify the type of signal being tracked and hence initiate controller switching. This network performed very well even in the presence of measurement noise, and the hybrid system automatically tracked each of the three types of reference signal over a wide range of signal amplitude and frequency. However, the reconfiguration interval was quite long (although still acceptable in terms of the proposed application), and the size of the neural net structure had to be limited for the system to work in real-time. 2016-07-19T14:18:50Z 2016-07-19T14:18:50Z 1996 Master Thesis Masters MSc http://hdl.handle.net/11427/20448 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town
spellingShingle Electrical Engineering
Narożny, Jacek Andrzej
Investigation of a hybrid switching control system
thesis_degree_str Master's
title Investigation of a hybrid switching control system
title_full Investigation of a hybrid switching control system
title_fullStr Investigation of a hybrid switching control system
title_full_unstemmed Investigation of a hybrid switching control system
title_short Investigation of a hybrid switching control system
title_sort investigation of a hybrid switching control system
topic Electrical Engineering
url http://hdl.handle.net/11427/20448
work_keys_str_mv AT naroznyjacekandrzej investigationofahybridswitchingcontrolsystem