Experimental Implementation of an Economic Model Predictive Control for Froth Flotation
Abstract
Experimental implementation of an economic model predictive control strategy in a 30-litre laboratory flotation cell, using a calibrated dynamic model that incorporates froth physics. Under feed flowrate disturbances, the controller raised mineral recovery from 9% to 29% while maintaining a minimum concentrate grade of 20%.
Type
Publication
Computer Aided Chemical Engineering (ESCAPE-34)
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.