State estimation and state feedback control for continuous fluidized bed dryers

A linear state space dynamic model is used to describe drying in continuous fluidized bed dryers. The estimation technique based on Kalman filter design is used to provide state estimates for an optimal state feedback control system. The filter shows acceptable performance in reducing the noises present in the system and in converging to the actual states from incorrect initial states. Also, state feedback controller shows acceptable performance in tracking set points changes when using either actual states or estimated ones.