Adaptive discrepancy based control of continuous fluidized bed spray granulation with external sieve-mill cycle

摘要

In this contribution control design for continuous fluidized bed spray granulation with external sieve-mill cycle in the presence of uncertain mill behavior is presented. It is well-known that this specific particulate process becomes unstable in certain parameter regions. Being described by a population balance model, a nonlinear partial integro-differential equation, control design is challenging. To overcome this problem control design is studied in terms of a generalized stability theory, i. E. stability with respect to two discrepancies. The resulting discrepancy based control can be extended by additional parameter adaptation to cope with the present uncertainties.