Optimal operation of sublimation time of the freeze drying process by predictive control: Application of the MPC@CB Software

Nawal Daraoui (1) , Pascal Dufour (1) , Hassan Hammouri (1) , Aurélie Hottot (1)

1 LAGEP - Laboratoire d'automatique et de génie des procédés

This paper presents the application of a model based predictive control strategy for the primary stage of the freeze drying process, which has not been tackled until now. A model predictive control framework is provided to minimize the sublimation time. The problem is directly addressed for the non linear distributed parameters system that describes the dynamic of the process. The mathematical model takes in account the main phenomena, including the heat and mass transfer in both the dried and frozen layers, and the moving sublimation front. The obtained results show the efficiency of the control software developed (MPC@CB) under Matlab. The MPC@CB based on a modified levenberg-marquardt algorithm allows to control a continuous process in the open or closed loop and to find the optimal constrained control.

Mots clés: Freeze drying; moving boundary; non linear distributed parameter systems; model based predictive control; internal model control.; internal model control

Domaines: Automatique / Robotique; Génie des procédés

Nawal Daraoui, Pascal Dufour, Hassan Hammouri, Aurélie Hottot. Optimal operation of sublimation time of the freeze drying process by predictive control: Application of the MPC@CB Software. EFCE-European Symposium on Computer Aided Process Engineering (ESCAPE), Jun 2008, Lyon, France. pp.453-458. ⟨hal-00352454v2⟩