• DocumentCode
    3530163
  • Title

    Automatic partitioning and simulation of weakly coupled systems

  • Author

    Papadopoulos, Alessandro Vittorio ; Akesson, Johan ; Casella, Francesco ; Leva, Alberto

  • Author_Institution
    Dipt. di Elettron., Inf. e Bioingegneria, Politec. di Milano, Milan, Italy
  • fYear
    2013
  • fDate
    10-13 Dec. 2013
  • Firstpage
    3172
  • Lastpage
    3177
  • Abstract
    Many control engineering tasks nowadays rely on the simulation of complex multi-physics systems. Modern tools allow to build the required dynamic models conveniently, thanks to Object-Oriented Modelling languages, e.g., Modelica, and to perform simulations with hardly any additional effort on the part of the analyst. However, when simulation speed is of concern, the same tools fall short of exploiting some useful properties of the model, namely - to focus on the subject of this work - the possibility of partitioning said model in “weakly” coupled submodels. This work proposes an automatic method to perform a structural analysis aimed at identifying weak couplings in the system, providing the information needed for the mentioned partition. This information is here used to feed a mixed-mode integration method, leading to a significant improvement in terms of simulation speed.
  • Keywords
    control engineering computing; integration; object-oriented languages; Modelica; automatic partitioning; control engineering task; dynamic model; mixed-mode integration method; object-oriented modelling language; structural analysis; weakly coupled system; Analytical models; Computational modeling; Eigenvalues and eigenfunctions; Numerical models; Numerical stability; Object oriented modeling; Real-time systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
  • Conference_Location
    Firenze
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-5714-2
  • Type

    conf

  • DOI
    10.1109/CDC.2013.6760367
  • Filename
    6760367