A dynamic flotation model for predictive control incorporating froth physics. Part II: Model calibration and validation

Abstract

Part II calibrates and validates the dynamic flotation model from Part I using experiments in an 87-litre laboratory flotation tank operated with three phases (solid, liquid and gas). A factorial experimental design varying gas velocity and tailings valve position was used to estimate the fitting parameters and assess the model’s predictive capability.

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.