Abstract
Plant-wide control is attracting considerable interest, both as a challenging research field and because of its practical importance. It is a topic [1] characterized by complexity in terms of the number and type of equipments involved, diversity of aims, and lack of adequate models and control policies. In this paper, the MPC control of the final part of a beet sugar factory, the so-called sugar house or sugar end, where sugar crystals are made, is presented. Perhaps the most characteristic aspect of its operation is that batch and continuous units operate jointly, which introduce the need for combining on-line scheduling with continuous control. As such, it is a hybrid process that requires non-conventional control techniques. The paper presents a methodology and a predictive controller that takes into account both, the continuous objectives and manipulated variables, as well as the ones related to the discrete operation and logic of the batch units, and, at the end, simulation results of the controller operation are provided.
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Keywords
- Internal Model
- Model Predictive Control
- Prediction Horizon
- Manipulate Variable
- Distribute Control System
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
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Prada C de, Cristea S, Sarabia D, Colmenares W (2004) Hybrid control of a mixed continuous-batch process. ESCAPE14 739-744 ISBN: 0-444-51694-8
Prada C de Merino A, Pelayo S, Acebes F, Alves R (2003) A simulator of sugar factories for operators training. AFoT 2003 97–100 ISBN: 84-95999-46-3
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Sarabia, D., de Prada, C., Cristea, S., Mazaeda, R., Colmenares, W. (2007). Hybrid NMPC Control of a Sugar House. In: Findeisen, R., Allgöwer, F., Biegler, L.T. (eds) Assessment and Future Directions of Nonlinear Model Predictive Control. Lecture Notes in Control and Information Sciences, vol 358. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72699-9_41
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DOI: https://doi.org/10.1007/978-3-540-72699-9_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72698-2
Online ISBN: 978-3-540-72699-9
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