Title :
Iterative Learning Control of supersaturation in batch cooling crystallization
Author :
Forgione, Marco ; Mesbah, Ali ; Bombois, Xavier ; Van den Hof, Paul M. J.
Author_Institution :
Delft Center for Syst. & Control, Delft Univ. of Technol., Delft, Netherlands
Abstract :
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.
Keywords :
batch processing (industrial); chemical engineering; cooling; crystallisation; iterative methods; learning systems; robust control; temperature control; ILC-PI control scheme; actuation deficiency; batch cooling crystallization; convergence properties; iterative learning control; measurement noise; model imperfections; robustness properties; supersaturation control; supersaturation trajectory; temperature control; thermal dynamics; Crystallization; Crystallizers; Equations; Mathematical model; Temperature control; Temperature measurement; Vectors;
Conference_Titel :
American Control Conference (ACC), 2012
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4577-1095-7
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2012.6315350
