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A model-based control framework for industrial batch crystallization processes |
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| Authors: | A Mesbah J Landlust AEM Huesman HJM Kramer PJ Jansens PMJ Van den Hof |
| Affiliation: | 1. Delft Center for Systems and Control, Delft University of Technology, Mekelweg 2, 2628 CD Delft, The Netherlands;2. Process and Energy Laboratory, Delft University of Technology, Leeghwaterstraat 44, 2628 CA Delft, The Netherlands;3. IPCOS BV, Bosscheweg 135b, 5282 WV Boxtel, The Netherlands |
| Abstract: | Dynamic optimization is applied for throughput maximization of a semi-industrial batch crystallization process. The control strategy is based on a non-linear moment model. The dynamic model, consisting of a set of differential and algebraic equations, is optimized using the simultaneous optimization approach in which all the state and input trajectories are parameterized. The resulting problem is subsequently solved by a non-linear programming algorithm. |
| Keywords: | Batch process Crystallization Seeding Dynamic optimization Real-time control Observer |
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