<div class="csl-bib-body">
<div class="csl-entry">Ehrmann, M., Rössler, M., & Breitenecker, F. (2022). Modelica Simulation of Pendulums and Crane Crab: PyMbs vs. OpenModelica. In F. Breitenecker, C. Deatcu, U. Durak, A. Körner, & T. Pawletta (Eds.), <i>ASIM SST 2022 Proceedings Kurzbeiträge</i> (pp. 47–50). ARGESIM Verlag. http://hdl.handle.net/20.500.12708/139966</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/139966
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dc.description.abstract
Modelica has become an approved and comfortable tool for modeling. Modelica is a textual and graphical modelling environment with many application libraries. Modelica compilers are generating an implicit state space model (DAE model), which can be handled by simulation environments. This contribution presents a comparison between the two open software simulation environments PyMbs and OpenModelica for multibody systems using three case studies, a pendulum, a double pendulum, and a simplified version of a controlled crane crab. After description of the directly derived mathematical models and the setup of a model-specific error analysis for comparison purposes, implementations within PyMbs and OpenModelica are discussed. The final part consists of the numerical comparison of the results between the two simulation environments. Generally, not only deviations caused by the DAE algorithms can be observed, but also deviations caused by different DAE models generated by the Modelica compilers and caused by the stability of the systems.
en
dc.language.iso
en
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dc.subject
Modeling tool
en
dc.subject
Modelica
en
dc.subject
PyMbs
en
dc.subject
OpenModelica
en
dc.title
Modelica Simulation of Pendulums and Crane Crab: PyMbs vs. OpenModelica
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.contributor.affiliation
dwh GmbH, Vienna, Austria
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dc.contributor.editoraffiliation
Wismar University of Applied Sciences, Germany
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dc.relation.isbn
9783901608964
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dc.relation.doi
10.11128/arep.19
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dc.description.startpage
47
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dc.description.endpage
50
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
ASIM SST 2022 Proceedings Kurzbeiträge
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tuw.container.volume
19
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tuw.relation.publisher
ARGESIM Verlag
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tuw.researchTopic.id
C6
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tuw.researchTopic.name
Modeling and Simulation
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E101 - Institut für Analysis und Scientific Computing
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dc.description.numberOfPages
4
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tuw.editor.orcid
0000-0001-7116-1707
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tuw.editor.orcid
0000-0003-1740-6560
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tuw.event.name
26. Symposium Simulationstechnik - ASIM 2022
en
tuw.event.startdate
25-07-2022
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tuw.event.enddate
27-07-2022
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tuw.event.online
On Site
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tuw.event.type
Event for scientific audience
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tuw.event.place
Wien
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tuw.event.country
AT
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tuw.event.presenter
Rössler, Matthias
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wb.sciencebranch
Mathematik
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wb.sciencebranch.oefos
1010
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wb.sciencebranch.value
100
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item.grantfulltext
none
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item.openairecristype
http://purl.org/coar/resource_type/c_5794
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item.openairetype
conference paper
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item.languageiso639-1
en
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item.cerifentitytype
Publications
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item.fulltext
no Fulltext
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crisitem.author.dept
dwh GmbH, Neustiftgasse 57-59, Wien
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crisitem.author.dept
E101 - Institut für Analysis und Scientific Computing