Model-based predictive control with fuzzy characterization of goals and constraints, applied to the dynamic optimization of grinding plants

Presents the application of a fuzzy predictive control technique to optimize the operation of a mineral grinding plant, specifically in order to maximize the ore feed rate and to follow a predetermined particle size set-point. The proposed predictive control uses linear multivariable models and a fuzzy characterization of goals and constraints to generate the appropriate values for manipulated variables. Simulation results under typical disturbances show that this control scheme is more efficient than classical predictive control.