The use of a semi-rigorous SAG mill model for a hands-on workshop

dc.contributor.authorBauer, Margret
dc.contributor.authorBrooks, Kevin
dc.contributor.authorBurchell, John
dc.contributor.authorCoetzee, Loutjie
dc.contributor.authorLe Roux, Johan Derik
dc.contributor.authorMcCoy, John
dc.contributor.authorMiskin, Jason
dc.contributor.authorWinter, Danielle
dc.contributor.emailmargret.bauer@up.ac.zaen_ZA
dc.date.accessioned2021-07-05T07:55:08Z
dc.date.available2021-07-05T07:55:08Z
dc.date.issued2020
dc.description.abstractThis paper describes the extension of a grinding mill model that is publicly available for educational and training purposes. This industrially derived model of a mill is used to explain complex concepts of advanced process control (APC) such as model predictive control and soft sensing. The resulting concepts were developed in a hands-on workshop in the wake of the IFAC MMM 2019 conference entitled “Modern Data Analytics for Control in Minerals Processing”. The workshop and the material presented here are aimed at control engineers to explain the use of APC methods to improve process performance. Both academic and industrial control engineers attended the workshop, highlighting the relevance of the application of real-life process control problems.en_ZA
dc.description.departmentElectrical, Electronic and Computer Engineeringen_ZA
dc.description.librarianpm2021en_ZA
dc.description.urihttps://www.journals.elsevier.com/ifac-papersonlineen_ZA
dc.identifier.citationBauer M., Brooks K., Burchell J. et al. 2020, 'The use of a semi-rigorous SAG mill model for a hands-on workshop', IFAC-PapersOnLine, vol. 53, no. 2, pp. 11889-11894.en_ZA
dc.identifier.issn2405-8963 (online)
dc.identifier.other10.1016/j.ifacol.2020.12.706
dc.identifier.urihttp://hdl.handle.net/2263/80708
dc.language.isoenen_ZA
dc.publisherElsevieren_ZA
dc.rights© 2020. The Authors. This is an Open Access Article under the CC BY-NC-ND license.en_ZA
dc.subjectControl engineering educationen_ZA
dc.subjectSystem identificationen_ZA
dc.subjectSoft sensingen_ZA
dc.subjectMultivariate Statisticsen_ZA
dc.subjectUniversity - industry collaborationen_ZA
dc.subjectAdvanced process control (APC)en_ZA
dc.titleThe use of a semi-rigorous SAG mill model for a hands-on workshopen_ZA
dc.typeArticleen_ZA

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