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

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Authors

Bauer, Margret
Brooks, Kevin
Burchell, John
Coetzee, Loutjie
Le Roux, Johan Derik
McCoy, John
Miskin, Jason
Winter, Danielle

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Elsevier

Abstract

This 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.

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Keywords

Control engineering education, System identification, Soft sensing, Multivariate Statistics, University - industry collaboration, Advanced process control (APC)

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Citation

Bauer 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.