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
Link To Document