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Title
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A roadmap for in silico development and evaluation of industrial NMPC applications : a practical case study
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Author
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Abstract
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| Linear Model Predictive Control (MPC) can be considered as the state of the art advanced process control technology in model-based automation of continuous chemical processes. For (semi-)batch processes, that often present a strongly nonlinear (or even unstable) behavior in combination with fast dynamics, Nonlinear Model Predictive Control (NMPC) is a more suited technology. However, online applications of NMPC have a hard time to penetrate in industry despite methodological developments, tools and examples in academia. In this paper, we propose a roadmap to argue against the intrinsic reasons and practical limitations that slow down the practical online applications of NMPC. This roadmap is applied to an existing semi-batch plant as a practical case study. The results have shown that the NMPC algorithm can provide an improved control, namely a better tracking of the main process variables, a reduction in the reaction time, and robustness with respect to model-plant mismatch and disturbances. |
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Language
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English
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Source (journal)
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Computers and chemical engineering. - Oxford
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Publication
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Oxford
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2021
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ISSN
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0098-1354
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DOI
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10.1016/J.COMPCHEMENG.2021.107278
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Volume/pages
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150
(2021)
, 16 p.
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Article Reference
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107278
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ISI
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000649713200010
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Medium
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E-only publicatie
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Full text (Publisher's DOI)
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Full text (publisher's version - intranet only)
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