Inferential measurement of SAG mill parameters V: MPC simulation

This paper discusses a case study application of inferential measurement models for semiautogenous grinding (SAG) mills and is the last in a five-part series on Inferential Measurement of SAG Mill Parameters. Inferential measurements of SAG mill discharge and feed streams and mill rock and ball charge levels, detailed earlier in the series, are utilised in a simulation environment. A multi-variable, model predictive (MPC) controller simulation is developed from plant data and utilised to investigate the potential of utilising the inferential models in a mill charge control strategy. An operating curve is generated and discussed in terms of possible utilisation in conjunction with an MPC controller. The results are encouraging and potential avenues for further research are discussed.