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dc.contributor.author | Noome, Zander M.![]() |
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dc.contributor.author | Le Roux, Johan Derik![]() |
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dc.date.accessioned | 2022-11-23T08:59:12Z | |
dc.date.available | 2022-11-23T08:59:12Z | |
dc.date.issued | 2022 | |
dc.description.abstract | A constrained Model Predictive Static Programming (MPSP) method is implemented in simulation to a single-stage grinding mill circuit model. The results are compared to a constrained Nonlinear Model Predictive Control (NMPC) method. Both the constrained MPSP and NMPC controllers were able to track the desired output set-points without exceeding any constraints. The comparison shows that the constrained MPSP has a faster computational time than that of the NMPC controller with similar performance. Therefore, constrained MPSP shows promise as a model-based controller for large processes where computational time limits the use of NMPC. | en_US |
dc.description.department | Electrical, Electronic and Computer Engineering | en_US |
dc.description.sponsorship | National Research Foundation of South Africa (Grant Numbers: 137769) | en_US |
dc.description.uri | https://www.journals.elsevier.com/ifac-papersonline | en_US |
dc.identifier.citation | Noome, Z.M. & Le Roux, J.D. 2022, 'Controlling a grinding mill circuit using constrained model predictive static programming', IFAC-PapersOnLine, vol. 55, no. 21, pp. 49-54, doi: 10.1016/j.ifacol.2022.09.242. | en_US |
dc.identifier.issn | 2405-8963 (online) | |
dc.identifier.other | 10.1016/j.ifacol.2022.09.242 | |
dc.identifier.uri | https://repository.up.ac.za/handle/2263/88453 | |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | © 2022 The Authors. This is an open access article under the CC BY-NC-ND license. | en_US |
dc.subject | Computational time | en_US |
dc.subject | Grinding mill | en_US |
dc.subject | Industrial processes | en_US |
dc.subject | Model predictive static programming (MPSP) | en_US |
dc.subject | Nonlinear model predictive control (NMPC) | en_US |
dc.title | Controlling a grinding mill circuit using constrained model predictive static programming | en_US |
dc.type | Article | en_US |