Skip to main content
eScholarship
Open Access Publications from the University of California

Batch-to-batch model improvement for cooling crystallization

  • Author(s): Forgione, M
  • Birpoutsoukis, G
  • Bombois, X
  • Mesbah, A
  • Daudey, PJ
  • Van den Hof, PMJ
  • et al.
Abstract

© 2015 Elsevier Ltd. 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.

Many UC-authored scholarly publications are freely available on this site because of the UC Academic Senate's Open Access Policy. Let us know how this access is important for you.

Main Content
Current View