Proper Generalized Decomposition based dynamic data-driven control of thermal processes
| Autor: | Elías Cueto, Francoise Masson, Chady Ghnatios, Antonio Huerta, Francisco Chinesta, Adrien Leygue |
|---|---|
| Přispěvatelé: | Institut de Recherche en Génie Civil et Mécanique (GeM), Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS), Laboratori de Càlcul Numèric (LACAN) (LaCàN), Universitat Politècnica de Catalunya [Barcelona] (UPC), Aragón Institute of Engineering Research [Zaragoza] (I3A), University of Zaragoza - Universidad de Zaragoza [Zaragoza] |
| Jazyk: | angličtina |
| Rok vydání: | 2012 |
| Předmět: |
Computer science
Mechanical Engineering Dynamic data Computational Mechanics General Physics and Astronomy Control engineering Context (language use) 02 engineering and technology 01 natural sciences Field (computer science) Computer Science Applications 010101 applied mathematics 020303 mechanical engineering & transports 0203 mechanical engineering Mechanics of Materials [SPI.MECA.STRU]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Structural mechanics [physics.class-ph] Parametric model Process control 0101 mathematics Applied science Curse of dimensionality Parametric statistics |
| Zdroj: | Computer Methods in Applied Mechanics and Engineering Computer Methods in Applied Mechanics and Engineering, Elsevier, 2012, 213-216, pp.29-41. ⟨10.1016/j.cma.2011.11.018⟩ |
| ISSN: | 0045-7825 |
| DOI: | 10.1016/j.cma.2011.11.018⟩ |
| Popis: | International audience; Dynamic Data-Driven Application Systems—DDDAS—appear as a new paradigm in the field of applied sciences and engineering, and in particular in Simulation-based Engineering Sciences. By DDDAS we mean a set of techniques that allow to link simulation tools with measurement devices for real-time control of systems and processes. In this paper a novel simulation technique is developed with an eye towards its employ in the field of DDDAS. The main novelty of this technique relies in the consideration of parameters of the model as new dimensions in the parametric space. Such models often live in highly multidi-mensional spaces suffering the so-called curse of dimensionality. To avoid this problem related to mesh-based techniques, in this work an approach based upon the Proper Generalized Decomposition—PGD—is developed, which is able to circumvent the redoubtable curse of dimensionality. The approach thus developed is composed by a marriage of DDDAS concepts and a combination of PGD ''off-line'' computations , linked to ''on-line'' post-processing. In this work we explore some possibilities in the context of process control, malfunctioning identification and system reconfiguration in real time, showing the potentialities of the technique in real engineering contexts. |
| Databáze: | OpenAIRE |
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