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Real-Time Control of the Heating of an Airfoil

[+] Author Affiliations
Francoise Rétat-Masson, Francisco Chinesta, Adrien Leygue

Ecole Centrale Nantes, Nantes, France

Elias Cueto

Universidad de Zaragoza, Zaragoza, Spain

Laurent Dala, Craig Law

University of the Witwatersrand, Johannesburg, Gauteng, South Africa

Paper No. ESDA2012-82460, pp. 215-216; 2 pages
doi:10.1115/ESDA2012-82460
From:
  • ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis
  • Volume 1: Advanced Computational Mechanics; Advanced Simulation-Based Engineering Sciences; Virtual and Augmented Reality; Applied Solid Mechanics and Material Processing; Dynamical Systems and Control
  • Nantes, France, July 2–4, 2012
  • Conference Sponsors: International
  • ISBN: 978-0-7918-4484-7
  • Copyright © 2012 by ASME

abstract

Dynamic Data-Driven Application Systems constitute nowadays one of the most challenging applications of simulation-based Engineering Science [1]. DDDAS imply a set of techniques that allow the linkage of simulation tools with measurement devices for real-time control of systems and processes [2]. DDDAS entails the ability to dynamically incorporate additional data into an executing application, and in reverse, the ability of an application to dynamically steer the measurement process. These systems need accurate and fast simulation tools, hence the off-line computations to limit as much as possible the on-line computations. In order to obtain the most efficient solver, all the sources of variability are introduced as extra-coordinates as to solve only once the model off-line to obtain its most general solution to be then considered in on-line purpose. However, such models result defined in highly multidimensional spaces. A technique recently proposed, called Proper Generalized Decomposition [3], allows circumventing this redoubtable curse of dimensionality.

Copyright © 2012 by ASME

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