The application of fuzzy predictive control to solve the regulatory problem in mineral grinding plants is considered. Controlled variables are percentage of solids, particle size and power demand and the manipulated variables are water and fresh ore flows. The controller uses linear multivariable models and a fuzzy characterization of the controlled variables, to calculate the manipulated variables. Simulation results under typical disturbances show a better performance compared with conventional predictive control.
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