Batch-to-batch model improvement for cooling crystallization. (August 2015)

• Record Type: Journal Article
• Authors: Forgione, Marco; Birpoutsoukis, Georgios; Bombois, Xavier; Mesbah, Ali; Daudey, Peter J.; Van den Hof, Paul M.J.
• Is Part Of: Control engineering practice. Volume 41(2015)
• Page Start: 72
• Page End: 82
• Publication Date: 2015-08
• Subjects: System identification -- Iterative learning control -- Process control -- Batch processes -- Batch cooling crystallization; Automatic control -- Periodicals; 629.89
• DOI: 10.1016/j.conengprac.2015.04.011
• Languages: English
• ISSNs: 0967-0661

Abstract

Abstract: Two batch-to-batch model update strategies for model-based control of batch cooling crystallization are presented. In Iterative Learning Control, a nominal process model is adjusted by a non-parametric, additive correction term which depends on the difference between the measured output and the model prediction in the previous batch. In Iterative Identification Control, the uncertain model parameters are iteratively estimated using the measured batch data. Due to the different nature of the model update, the two algorithms have complementary advantages and disadvantages which are investigated in a simulation study and through experiments performed on a pilot-scale crystallizer.