Modeling and Optimal Control for Batch Cooling Crystallization


In this paper a dynamic optimization policy is proposed with the objective to obtain the optimal cooling temperature policy of a batch crystallizer, maximizing the total volume of seeded crystals. Owing to the complex and highly nonlinear behavior of the batch crystallizer, the nonlinear control strategy based on a generic model control (GMC) algorithm is implemented to track the resulting optimal temperature profile. Finally the developed control strategy is compared with a conventional PI control technique.

  • Abstract
  • Keywords
  • 1. Introductions
  • 2. Dynacim Optimization Strategy
  • 3. Generic Model Control Algorithm
  • 4. Simulation Results
  • 5. Summaries
  • 6. References

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