|
Digital Library of the
European Council for Modelling and Simulation |
Title: |
Development of Simulation Software - from Simple ODE Modelling to Structural Dynamic Systems |
Authors: |
Felix Breitenecker |
Published in: |
ECMS
2008 Proceedings Edited
by: Loucas S. Louca, Yiorgos Chrysanthou, Zuzana Oplatkova, Khalid Al-Begain ISBN:
978-0-9553018-6-5 Doi: 10.7148/2008 22nd
European Conference on Modelling and Simulation, Nicosia, June
3-6, 2008 |
Citation
format: |
Breitenecker, F. (2008). Development of
Simulation Software - from Simple ODE Modelling to
Structural Dynamic Systems. 22nd ECMS Proceedings edited by: Loucas S. Louca, Yiorgos Chrysanthou, Zuzana Oplatková, Khalid Al-Begain (pp. 5-22).
European Council for Modeling and Simulation. doi:10.7148/2008-0005-0022 |
DOI: |
http://dx.doi.org/10.7148/2008-0005-0022 |
Abstract: |
This
contribution presents development and trends of simulation software, from the
simple structures for ‘static’ explicit ODE models to modelling
of structural dynamic systems with DAEs. Simulation
emerged in the 1960’ in order to be able to analyse
nonlinear dynamic system and to synthesize nonlinear control systems. Since
that time simulation as problem solving tool has been developed towards the
third pillar of science (be- neath theory and
experiment), and simultaneously simu- lation software has been developed further on. The
paper first follows roots in the CSSL standard for simulation languages, from
simple ODE modelling structures to discrete
elements in ODE modelling, using the classical
state space approach. Next, the extensions from explicit state space
description to implicit model descriptions and their consequences for
numerical algo- rithms
and for structure of simulators are discussed, like DAE solvers and implicit
model translation. Besides DAE modelling, state
event description and state event handling has become a key feature for
simulators – sketched by a state event classification and options for
implementation. In
the following, the last major steps of the development are presented:
a-causal physical modelling, the new Modelica standard for ODE and DAE modelling,
state chart and structural dynamic systems. Physical model- ling and Modelica is outlined by examples, and for structural
dynamic systems a new approach by means of internal and external events is
presented – together com- fortable state chart
descriptions based on UML-RT. The last section reviews
state-of-the-art simulators for availability of extended and structural
features neces- sary for
these last developments: DAE modelling, a- causal
physical modelling, state events, Modelica mod- elling, state
chart modelling, structural decomposition for
structural dynamic systems, and related features. At the end, a table summarises and compares the availabil-
ity of structural approaches and features. |
Full
text: |