Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Automatic tuning of a MIMO PI controller of a flotation bank
Dissertation (MEng (Electronic Engineering))--University of Pretoria, 2024.
Saved in:
| Other Authors: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
University of Pretoria
2025
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1867613535389876225 |
|---|---|
| access_status_str | Open Access |
| author2 | Le Roux, Johan Derik |
| author_browse | Le Roux, Johan Derik |
| author_facet | Le Roux, Johan Derik |
| 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 | Dissertation (MEng (Electronic Engineering))--University of Pretoria, 2024. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/100955 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:37:41.590Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/100955 Automatic tuning of a MIMO PI controller of a flotation bank Le Roux, Johan Derik albertusr7@gmail.com Craig, Ian K. Richter, Albertus Viljoen UCTD Sustainable Development Goals (SDGs) Automatic tuning Bayesian optimization Flotation Level control PID Dissertation (MEng (Electronic Engineering))--University of Pretoria, 2024. The literature on the automatic tuning of PID controllers is surveyed. The automatic tuning methods are sorted into model based and model-free methods. The methods are further subdivided into the manner the system is perturbed. The method of Bayesian optimization is presented and discussed within the context of automatic controller tuning. The method used to constrain the Bayesian optimization is presented. The level flotation model is given and linearized. The controllers are given and discussed. The controller tuning strategies for both SISO and MIMO controllers are presented. A Bayesian optimization automatic tuner is implemented on SISO and MIMO PI controllers used to control the pulp levels in a flotation bank. The implemented automatic tuner achieves performance improvement for both SISO and MIMO cases without any noise present. The MIMO controller tuning is also implemented on a system with measurement noise present and the Bayesian optimization automatic tuner settings performed on par with a state of the art forward-feeding controller. The Bayesian optimization automatic tuner is constrained to ensure safety and stability. The constraints are found using a structured singular value analysis. Electrical, Electronic and Computer Engineering MEng (Electronic Engineering) Unrestricted Faculty of Engineering, Built Environment and Information Technology SDG-09: Industry, innovation and infrastructure 2025-02-15T11:34:21Z 2025-02-15T11:34:21Z 2024-11-29 2024-11 Dissertation * A2025 http://hdl.handle.net/2263/100955 none 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) Automatic tuning Bayesian optimization Flotation Level control PID Automatic tuning of a MIMO PI controller of a flotation bank |
| title | Automatic tuning of a MIMO PI controller of a flotation bank |
| title_full | Automatic tuning of a MIMO PI controller of a flotation bank |
| title_fullStr | Automatic tuning of a MIMO PI controller of a flotation bank |
| title_full_unstemmed | Automatic tuning of a MIMO PI controller of a flotation bank |
| title_short | Automatic tuning of a MIMO PI controller of a flotation bank |
| title_sort | automatic tuning of a mimo pi controller of a flotation bank |
| topic | UCTD Sustainable Development Goals (SDGs) Automatic tuning Bayesian optimization Flotation Level control PID |
| url | http://hdl.handle.net/2263/100955 |