A combined MPC for milling and flotation - a simulation study

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dc.contributor.author Brooks, Kevin S.
dc.contributor.author Westcott, Merinda
dc.contributor.author Bauer, Margret
dc.date.accessioned 2020-09-04T11:44:09Z
dc.date.available 2020-09-04T11:44:09Z
dc.date.issued 2019
dc.description.abstract In the metals and mining industry, an ore-milling step followed by froth flotation is a very common processing route. It is also common that advanced controls of one form or another are installed on these units. It is less common for the advanced controllers to be combined in any formal way. This paper explores the way two typical model predictive control structures could be combined, and what are the benefits of doing so. Use is made of existing linear dynamic models of plants the authors have implemented model predictive control (MPC) on. The results show that the coordinated system can behave differently to the separate controllers, depending on the steady-state optimisation coefficients applied. en_ZA
dc.description.department Electrical, Electronic and Computer Engineering en_ZA
dc.description.librarian am2020 en_ZA
dc.description.uri https://www.journals.elsevier.com/ifac-papersonline en_ZA
dc.identifier.citation Brooks, K., Westcott, M. & Bauer, M. 2019, 'A combined MPC for milling and flotation - a simulation study', IFAC-PapersOnLine, vol. 52, no. 14, pp. 24-29. en_ZA
dc.identifier.issn 1474-6670 (print)
dc.identifier.issn 2405-8963 (online)
dc.identifier.other 10.1016/j.ifaco1.2019.09.158
dc.identifier.uri http://hdl.handle.net/2263/76050
dc.language.iso en en_ZA
dc.publisher International Federation of Automatic Control en_ZA
dc.rights © 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. en_ZA
dc.subject Identification and modelling en_ZA
dc.subject Advanced process control en_ZA
dc.subject Model predictive and optimization-based control en_ZA
dc.subject Milling en_ZA
dc.subject Flotation en_ZA
dc.subject Plantwide control en_ZA
dc.title A combined MPC for milling and flotation - a simulation study en_ZA
dc.type Article en_ZA


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