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Nonlinear Model Predictive Control

From digital twin to real-world application in polymerization process


Publikationsform: Fachartikel
Artikelnummer: 03654_2023_03_05
Zeitschrift: Nonlinear Model Predictive Control
Erscheinungsdatum: 06.03.2023
Autor: Dr.-Ing. Bernd-Markus Pfeiffer, Chris Leingang, Dr.-Ing. Corinna Busse, Dr.-Ing. Mathias Oppelt, Dr.-Ing. Otmar Lorenz, Dr. Alejandro Cano,
Verlag: Vulkan-Verlag GmbH
Seiten: 9
Publikationsformat: PDF
Sprache: Deutsch


This paper gives an overview and recent results of an ongoing pilot application of a nonlinear MPC (Model Predictive Controller) to an industrial polymerization process. Both MPC and soft sensor are using the same digital process twin, a high-fidelity dynamic flowsheet model based on first principles, which is also the heart of an operator training system.

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