Innovations in advanced regulatory control methods for modern distributed control systems
dc.contributor.advisor | Craig, Ian Keith | en |
dc.contributor.coadvisor | Le Roux, Johan Derik | en |
dc.contributor.email | gustaf.gous@gmail.com | en_US |
dc.contributor.postgraduate | Gous, Gustaf Zacharias | |
dc.date.accessioned | 2025-03-18T14:40:26Z | |
dc.date.available | 2025-03-18T14:40:26Z | |
dc.date.created | 2025-04 | |
dc.date.issued | 2024-09 | |
dc.description | Thesis (PhD (Electronic Engineering))--University of Pretoria, 2024. | en_US |
dc.description.abstract | 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. | en_US |
dc.description.availability | Unrestricted | en_US |
dc.description.degree | PhD (Electronic Engineering) | en_US |
dc.description.department | Electrical, Electronic and Computer Engineering | en_US |
dc.description.faculty | Faculty of Engineering, Built Environment and Information Technology | en_US |
dc.description.sdg | SDG-12: Responsible consumption and production | en_US |
dc.description.sdg | SDG-13: Climate action | en_US |
dc.identifier.citation | * | en_US |
dc.identifier.doi | https://doi.org/10.25403/UPresearchdata.28615073 | en_US |
dc.identifier.other | A2025 | en_US |
dc.identifier.uri | http://hdl.handle.net/2263/101573 | en |
dc.identifier.uri | https://doi.org/10.25403/UPresearchdata.28615073 | en |
dc.language.iso | en | en_US |
dc.publisher | University of Pretoria | |
dc.rights | © 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. | |
dc.subject | UCTD | en_US |
dc.subject | Sustainable Development Goals (SDGs) | en_US |
dc.subject | Advanced regulatory control | en_US |
dc.subject | Averaging level control | en_US |
dc.subject | Stiction compensation | en_US |
dc.subject | Integral gap control | en_US |
dc.title | Innovations in advanced regulatory control methods for modern distributed control systems | en_US |
dc.type | Thesis | en_US |