Iterative Learning Control of supersaturation in batch cooling crystallization.

An Iterative Learning Control (ILC) algorithm for supersaturation control in batch cooling crystallization is presented in this paper. The ILC controller is combined with a PI controller in order to reject the disturbances present in the thermal dynamics as much as possible. Convergence and robustness properties of the proposed ILC+PI control scheme are investigated. The simulation studies reveal that the controller is well capable of tracking a predetermined supersaturation trajectory in the presence of model imperfections, measurement noise and actuation deficiencies. [ABSTRACT FROM PUBLISHER]