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Innovations in advanced regulatory control methods for modern distributed control systems

Thesis (PhD (Electronic Engineering))--University of Pretoria, 2024.

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Other Authors: Craig, Ian Keith
Format: Thesis
Language:English
Published: University of Pretoria 2025
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access_status_str Open Access
author2 Craig, Ian Keith
author_browse Craig, Ian Keith
author_facet Craig, Ian Keith
collection Thesis
dc_rights_str_mv © 2023 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Thesis (PhD (Electronic Engineering))--University of Pretoria, 2024.
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institution University of Pretoria (South Africa)
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license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2025
publishDateRange 2025
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spelling oai:repository.up.ac.za:2263/101573 Innovations in advanced regulatory control methods for modern distributed control systems Craig, Ian Keith gustaf.gous@gmail.com Le Roux, Johan Derik Gous, Gustaf Zacharias UCTD Sustainable Development Goals (SDGs) Advanced regulatory control Averaging level control Stiction compensation Integral gap control Thesis (PhD (Electronic Engineering))--University of Pretoria, 2024. Many modern Distributed Control Systems (DCS) in industry are new replacements of previous versions of the same DCS vendor’s product line. During such upgrades the process is often automated using software to translate existing controller configurations as well as custom software to comply with the new system’s requirements and syntax. Doing this makes the upgrade process much faster and reduces the risk of introducing errors. It does, however, rob the control practitioner from making use of new features and capabilities of the new system. Therefore, there are many DCS in industry where only a small fraction of their newer capabilities are used. Many improvements in advanced regulatory control (ARC) that would improve control performance are available, but are never used. In order to show how modern DCS can enable more complex control solutions, four ARC level controllers and two stiction compensation algorithms, all more complex than current solutions typically found in industry, are introduced as examples of how increased complexity may provide increased control performance. Electrical, Electronic and Computer Engineering PhD (Electronic Engineering) Unrestricted Faculty of Engineering, Built Environment and Information Technology SDG-12: Responsible consumption and production SDG-13: Climate action 2025-03-18T14:40:26Z 2025-03-18T14:40:26Z 2025-04 2024-09 Thesis * A2025 http://hdl.handle.net/2263/101573 https://doi.org/10.25403/UPresearchdata.28615073 https://doi.org/10.25403/UPresearchdata.28615073 en © 2023 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle UCTD
Sustainable Development Goals (SDGs)
Advanced regulatory control
Averaging level control
Stiction compensation
Integral gap control
Innovations in advanced regulatory control methods for modern distributed control systems
title Innovations in advanced regulatory control methods for modern distributed control systems
title_full Innovations in advanced regulatory control methods for modern distributed control systems
title_fullStr Innovations in advanced regulatory control methods for modern distributed control systems
title_full_unstemmed Innovations in advanced regulatory control methods for modern distributed control systems
title_short Innovations in advanced regulatory control methods for modern distributed control systems
title_sort innovations in advanced regulatory control methods for modern distributed control systems
topic UCTD
Sustainable Development Goals (SDGs)
Advanced regulatory control
Averaging level control
Stiction compensation
Integral gap control
url http://hdl.handle.net/2263/101573
https://doi.org/10.25403/UPresearchdata.28615073
https://doi.org/10.25403/UPresearchdata.28615073