Real-time Dynamic Optimization of Batch Crystallization Processes

Autor: Alex N. Kalbasenka, Ali Mesbah, Herman J. M. Kramer, Paul M.J. Van den Hof, Adrie E. M. Huesman
Rok vydání: 2008
Předmět:
Zdroj: IFAC Proceedings Volumes. 41:3246-3251
ISSN: 1474-6670
DOI: 10.3182/20080706-5-kr-1001.00551
Popis: An on-line optimization strategy is developed and applied to a semi-industrial crystallization process. The seeded fed-batch crystallizer is represented by a nonlinear moment model. An optimal control problem pertinent to maximization of the batch crystal yield is solved using the sequential optimization approach. As the dynamic optimizer requires knowledge of the states of the system, an extended Luenberger-type observer is designed to estimate the unmeasured state variable, i.e. solute concentration. Real-time implementations of the proposed strategy reveal the effectiveness of closed-loop optimal control of the crystallizer. The superior performance of the closed-loop implementation to that of the open-loop implementation is attributed to the distinct role of the observer in the feedback control structure that not only accounts for plant-model mismatch by state adaptation, but also enables disturbance handling. Experimental results also demonstrate that the application of the proposed optimal control strategy leads to a substantial increase in the crystal volume fraction at the end of the batch, while the reproducibility of batches with respect to the product crystal size distribution is sustained.
Databáze: OpenAIRE