Iterative learning control of supersaturation in batch cooling crystallization

M. Forgione, A. Mesbah, X. Bombois, P.M.J. Hof, Van den

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

7 Citations (Scopus)


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.
Original languageEnglish
Title of host publicationProceedings of the 2012 American Control Conference (ACC), June 27-29 2012, Montréal, Canada
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Print)978-1-4673-2102-0
Publication statusPublished - 2012
Event2012 American Control Conference, ACC 2012 - Fairmont Queen Elizabeth, Montreal, Canada
Duration: 27 Jun 201229 Jun 2012


Conference2012 American Control Conference, ACC 2012
Abbreviated titleACC 2012
Internet address


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