Reachability-based feedback control of crystal size distribution in batch crystallization processes

In the paper, we investigate the controllability of crystallization processes by reachability analysis. Crystallization processes are governed by hyperbolic partial differential equations. Given a desired crystal size distribution, we study its reachability by the temperature control from the initial condition without seeding. When the desired crystal size distribution is reachable, we construct an admissible control steering the state to the desired distribution. Our construction is developed based on the discretized model. To ensure that the desired distribution be reached facing model uncertainty, we propose an output feedback control law to correct errors resulted from disturbed parameters of the model.

► Model discretization by MOC and parameter sensibility analysis.
► Reachability analysis of the desired CSD for the discretized model.
► Feedback control design based on the reachability analysis.
► Design of feedback control facing model uncertainty.
► Design of a high gain observer for state estimation.