Nonlinear Model Predictive Control
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Artikelnummer
03654_2023_03_05
From digital twin to real-world application in polymerization process
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.
| Autoren | Dr.-Ing. Bernd-Markus Pfeiffer, Chris Leingang, Dr.-Ing. Corinna Busse, Dr.-Ing. Mathias Oppelt, Dr.-Ing. Otmar Lorenz, Dr. Alejandro Cano, |
|---|---|
| Erscheinungsdatum | 06.03.2023 |
| Format | |
| Verlag | Vulkan-Verlag GmbH |
| Sprache | Deutsch |
| Seitenzahl | 9 |
| Titel | Nonlinear Model Predictive Control |
| Untertitel | From digital twin to real-world application in polymerization process |
| Beschreibung | 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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