Hybrid non-linear model predictive control of a run-of-mine ore grinding mill circuit

Show simple item record

dc.contributor.author Botha, Stefan
dc.contributor.author Le Roux, J.D. (Johan Derik)
dc.contributor.author Craig, Ian K.
dc.date.accessioned 2018-05-24T10:46:02Z
dc.date.issued 2018-07
dc.description.abstract A hybrid non-linear model predictive controller (HNMPC) is developed for a run-of-mine ore grinding mill circuit. A continuous-time grinding mill circuit model is presented with a hydrocyclone cluster as the primary classifier. The discrete-time component is the switching of hydrocyclones in the hydrocyclone cluster. The resulting model is a hybrid non-linear model with both continuous and discrete dynamics. A simulation of the HNMPC shows the advantages of using the hydrocyclone cluster as an additional manipulated variable. The advantages of the HNMPC is illustrated by comparing its performance to a non-linear MPC where no switching of hydrocyclones is possible. The genetic algorithm based HNMPC showed increased controller stability in its ability to incorporate discrete dynamics into the controller directly. The methods discussed in this paper can be used to incorporate different types of discrete dynamics into advanced grinding mill circuit controllers due to the modular presentation of the model and HNMPC controller design. en_ZA
dc.description.department Electrical, Electronic and Computer Engineering en_ZA
dc.description.embargo 2019-07-01
dc.description.librarian hj2018 en_ZA
dc.description.uri http://www.elsevier.com/locate/mineng en_ZA
dc.identifier.citation Botha, S., Le Roux, J.D & Craig, I.K. 2018, 'Hybrid non-linear model predictive control of a run-of-mine ore grinding mill circuit', Minerals Engineering, vol. 123, pp. 49-62. en_ZA
dc.identifier.issn 0892-6875 (print)
dc.identifier.issn 1872-9444 (online)
dc.identifier.other 10.1016/j.mineng.2018.04.016
dc.identifier.uri http://hdl.handle.net/2263/65006
dc.language.iso en en_ZA
dc.publisher Elsevier en_ZA
dc.rights © 2018 Elsevier Ltd. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Minerals Engineering. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. A definitive version was subsequently published in Minerals Engineering, vol. 123, pp. 49-62, 2018. doi : 10.1016/j.mineng.2018.04.016. en_ZA
dc.subject Hybrid non-linear model predictive controller (HNMPC) en_ZA
dc.subject Advanced process control en_ZA
dc.subject Comminution en_ZA
dc.subject Genetic algorithm en_ZA
dc.subject Grinding mill en_ZA
dc.subject Hydrocyclone cluster en_ZA
dc.subject Hybrid modelling en_ZA
dc.subject Continuous time systems en_ZA
dc.subject Controllers en_ZA
dc.subject Cyclone separators en_ZA
dc.subject Dynamics en_ZA
dc.subject Grinding (comminution) en_ZA
dc.subject Grinding (machining) en_ZA
dc.subject Grinding mills en_ZA
dc.subject Intelligent control en_ZA
dc.subject Nonlinear systems en_ZA
dc.subject Predictive control systems en_ZA
dc.subject Timing circuits en_ZA
dc.subject Model predictive control (MPC) en_ZA
dc.subject Manipulated variables en_ZA
dc.subject Controller designs en_ZA
dc.subject Controller stabilities en_ZA
dc.subject Discrete dynamics en_ZA
dc.title Hybrid non-linear model predictive control of a run-of-mine ore grinding mill circuit en_ZA
dc.type Postprint Article en_ZA


Files in this item

This item appears in the following Collection(s)

Show simple item record