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ASME Press Select Proceedings
International Conference on Advanced Computer Theory and Engineering, 4th (ICACTE 2011)
Yi Xie
Yi Xie
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ASME Press
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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.

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