Dynamic real-time optimization to mitigate critical state effects in expert-controlled SAG mills

Abstract

A dynamic real-time optimisation layer that sits above the expert control system of a SAG mill and uses a digital twin to adjust controlled-variable limits ahead of critical states such as overload or high pressure. In simulation it reduced tonnage loss by up to 57%, shortened critical states by up to 33% and increased average throughput by up to 3.5%.

Dr Paulina Quintanilla

Assistant Professor in Process Systems Engineering

Assistant Professor in Process Systems Engineering at UCL, leading the LOOPS research group. Research interests include machine learning, optimisation and control for processes and physical systems.