Le Roux, Johan DerikOlivier, Laurentz EugeneNaidoo, M.A.Padhi, R.Craig, Ian Keith2017-05-122016-06Le Roux, JD, Olivier, LE, Naidoo, MA, Padhi R & Craig IK 2016, 'Throughput and product quality control for a grinding mill circuit using non-linear MPC', Journal of Process Control, vol. 42, pp. 35-500959-1524 (print)1873-2771 (online)10.1016/j.jprocont.2016.04.007http://hdl.handle.net/2263/60332A non-linear model-based control architecture for a single-stage grinding mill circuit closed with a hydrocyclone is proposed. The control architecture aims to achieve independent control of circuit throughput and product quality, and consists of a non-linear model predictive controller for grinding mill circuit control, and a dynamic inversion controller to control the fast sump dynamics. A particle filter is used to estimate the mill states, and an algebraic routine is used to estimate the sump states. The observers make use of real-time continuous measurements commonly available on industrial plants. Simulation results show that control objectives can be achieved by the controller despite the presence of measurement noise and disturbances.en© 2016 Elsevier Ltd. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Journal of Process Control. 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 Journal of Process Control, vol. 42, pp. 35-50, 2016. doi : 10.1016/j.jprocont.2016.04.007.Dynamic inversionGrinding millModel predictive controlNon-linearParticle filterRun-of-mineState estimationPostprint Article