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Rigorous model-based control strategy for batch crystallizers (CrysCODE)

Project members: A.N. Kalbasenka, A.E.M. Huesman, O.H. Bosgra

Sponsored by: AKZO-Nobel, BP-Amoco, DSM, Purac BioChem, Solvay

This research is a part of the multi-disciplinary research project CrysCODE (Crystallizer COntrol and DEsign).

The ultimate goal of the present research is to design a model-based control system for batch crystallization processes. This ambiguous research title can be elaborated further resulting in the following subgoals:

  • validation of the models for a crystallizer (draft-tube and draft-tube-baffle crystallizers;
  • validation of the models for process actuators (conventional and ultrasonic seeding techniques, impeller frequency);
  • validation of the model for a measurement system (crystal size distribution measurement and supersaturation measurement devices);
  • model reduction;
  • design and validation of a dynamic observer (extended Kalman filter);
  • design and validation of a model predictive controller.

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Next: Intelligent adaptive control of bioreactors Up: Industrial process control Previous: Model reduction for dynamic optimization

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