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Investigations into implementation of an iterative feedback tuning algorithm into microcontroller

Includes abstract.

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Bibliographic Details
Main Author: Himunzowa, Grayson
Other Authors: Braae, Martin
Format: Thesis
Language:English
Published: Department of Electrical Engineering 2014
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access_status_str Open Access
author Himunzowa, Grayson
author2 Braae, Martin
author_browse Braae, Martin
Himunzowa, Grayson
author_facet Braae, Martin
Himunzowa, Grayson
author_sort Himunzowa, Grayson
collection Thesis
description Includes abstract.
format Thesis
id oai:open.uct.ac.za:11427/5206
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:34:28.941Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2014
publishDateRange 2014
publishDateSort 2014
publisher Department of Electrical Engineering
publisherStr Department of Electrical Engineering
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/5206 Investigations into implementation of an iterative feedback tuning algorithm into microcontroller Himunzowa, Grayson Braae, Martin Electrical Engineering Includes abstract. Includes bibliographical references (leaves 73-75). Implementation of an Iterative Feedback Tuning (IFT) and Myopic Unfalsified Control (MUC) Algorithm into microcontroller is investigated in this dissertation. Motivation in carrying out this research emanates from successful results obtained in application of IFT algorithm to various physical systems since the method was originated in 1995 by Hjalmarsson [4]. The Motorola DSP56F807C microcontroller is selected for use in the investigations due to its matching characteristics with the requirements of IFT algorithm. Speed of program execution, large memory, in-built ADC & DAC and C compiler type are the key parameters qualifying for its usage. The Analog Devices ARM7024 microcontroller was chosen as an alternative to the DSP56F807C where it is not available. Myopic Unfalsified Control (MUC) is noted to be similar to IFT since it also employs ‘myopic’ gradient based steepest descent approach to parameter optimization. It is easier to implement in that its algorithm is not as complex as the IFT one, meaning that successful implementation of IFT algorithm in a microcontroller would obviously permit the implementation of MUC into microcontroller as well. 2014-07-31T10:56:57Z 2014-07-31T10:56:57Z 2008 Master Thesis Masters MSc http://hdl.handle.net/11427/5206 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town
spellingShingle Electrical Engineering
Himunzowa, Grayson
Investigations into implementation of an iterative feedback tuning algorithm into microcontroller
thesis_degree_str Master's
title Investigations into implementation of an iterative feedback tuning algorithm into microcontroller
title_full Investigations into implementation of an iterative feedback tuning algorithm into microcontroller
title_fullStr Investigations into implementation of an iterative feedback tuning algorithm into microcontroller
title_full_unstemmed Investigations into implementation of an iterative feedback tuning algorithm into microcontroller
title_short Investigations into implementation of an iterative feedback tuning algorithm into microcontroller
title_sort investigations into implementation of an iterative feedback tuning algorithm into microcontroller
topic Electrical Engineering
url http://hdl.handle.net/11427/5206
work_keys_str_mv AT himunzowagrayson investigationsintoimplementationofaniterativefeedbacktuningalgorithmintomicrocontroller