Adaptive discrepancy based control of continuous fluidized bed spray granulation with internal classification

This paper is concerned with adaptive stabilization of open loop unstable fluidized bed spray granulation with internal product classification by means of nonlinear feedback control. Since the process model is represented by a nonlinear partial integro-differential equation, direct stabilization of the particle size distribution in a Lp or L∞ norm is difficult. To overcome this problem a stability notion using two generalized distance measures, the discrepancies, is used. It is shown that the adaptive version of the resulting discrepancy based control law is able to cope with uncertainties present in industrial applications.