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

fYear

2012

fDate

27-29 June 2012

Firstpage

6455

Lastpage

6460

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;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference (ACC), 2012

Conference_Location

Montreal, QC

ISSN

0743-1619

Print_ISBN

978-1-4577-1095-7

Electronic_ISBN

0743-1619

Type

conf

DOI

10.1109/ACC.2012.6315350

Filename

6315350