Advanced Control of a Rotary Dryer

Abstract Two kinds of intelligent, hybrid control systems for a rotary dryer are presented. The main controlled variable is the output moisture of solids and the main manipulated variable is the input temperature of drying air which correlates to the fuel flow. The main disturbances of the process are the input moisture of solids and the feed flow. The one discussed control system includes a fuzzy logic controller (FLC) and a PI-controller and the other a neural network controller and a PI-controller. In both cases the intelligent controller determines the set point value to a PI controller. The control results have been examined both with simulations and with pilot plant experiments.

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