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Model-plant mismatch diagnosis using plant model ratios for a grinding mill circuit under model predictive control
Dissertation (MEng (Electronic Engineering))--University of Pretoria, 2023.
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| Format: | Thesis |
| Language: | English |
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University of Pretoria
2024
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| _version_ | 1867613464165351424 |
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| 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, 2023. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/95482 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:36:33.567Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| 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:2263/95482 Model-plant mismatch diagnosis using plant model ratios for a grinding mill circuit under model predictive control Le Roux, Johan Derik heinz.m014@gmail.com Craig, Ian K. Mittermaier, Heinz Karl UCTD Controller performance monitoring Grinding mill circuit. Model predictive control Model-plant mismatch Process performance monitoring SDG-09: Industry, innovation and infrastructure Sustainable Development Goals (SDGs) Engineering, built environment and information technology theses SDG-09 SDG-09: Industry, innovation and infrastructure Dissertation (MEng (Electronic Engineering))--University of Pretoria, 2023. Model-based controllers often extend improved performance to mineral processing plants by leveraging predictive models to account for system dynamics, handling constraints, adapting to changing conditions, and optimizing control inputs. Inaccurate models will cause a deterioration of controller performance, which is often the case for grinding mill circuits. The plant model ratio was developed to diagnose parametric model plant mismatches for first-order plus time delay models. Using a simulation study, the plant model ratio is applied to test the feasibility of using the plant model ratio on a grinding mill circuit. By applying different scenarios of mismatch, some limitations of the plant model ratio are identified and discussed in light of a grinding mill circuit model that is used in model-based controllers. The plant model ratio is capable of identifying parametric model plant mismatches for the model of a grinding mill circuit, specifically changes in the direction of responses. This may occur in cases where disturbances push a grinding mill to operate to the right of the peak of a grind curve. Electrical, Electronic and Computer Engineering MEng (Electronic Engineering) Unrestricted Faculty of Engineering, Built Environment and Information Technology SDG-09: Industry, innovation and infrastructure 2024-04-11T11:04:55Z 2024-04-11T11:04:55Z 2024-04-29 2023-11-01 Dissertation * A2024 http://hdl.handle.net/2263/95482 10.25403/UPresearchdata.25436833 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 Controller performance monitoring Grinding mill circuit. Model predictive control Model-plant mismatch Process performance monitoring SDG-09: Industry, innovation and infrastructure Sustainable Development Goals (SDGs) Engineering, built environment and information technology theses SDG-09 SDG-09: Industry, innovation and infrastructure Model-plant mismatch diagnosis using plant model ratios for a grinding mill circuit under model predictive control |
| title | Model-plant mismatch diagnosis using plant model ratios for a grinding mill circuit under model predictive control |
| title_full | Model-plant mismatch diagnosis using plant model ratios for a grinding mill circuit under model predictive control |
| title_fullStr | Model-plant mismatch diagnosis using plant model ratios for a grinding mill circuit under model predictive control |
| title_full_unstemmed | Model-plant mismatch diagnosis using plant model ratios for a grinding mill circuit under model predictive control |
| title_short | Model-plant mismatch diagnosis using plant model ratios for a grinding mill circuit under model predictive control |
| title_sort | model plant mismatch diagnosis using plant model ratios for a grinding mill circuit under model predictive control |
| topic | UCTD Controller performance monitoring Grinding mill circuit. Model predictive control Model-plant mismatch Process performance monitoring SDG-09: Industry, innovation and infrastructure Sustainable Development Goals (SDGs) Engineering, built environment and information technology theses SDG-09 SDG-09: Industry, innovation and infrastructure |
| url | http://hdl.handle.net/2263/95482 |