ROBOTRAN: a powerful symbolic gnerator of multibody models

The computational efficiency of symbolic generation was at the root of the emergence of symbolic multibody programs in the eighties. At present, it remains an attractive feature of it since the exponential increase in modern computer performances naturally provides the opportunity to investigate lar...

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Main Authors: N. Docquier, A. Poncelet, P. Fisette
Format: Article
Language:English
Published: Copernicus Publications 2013-05-01
Series:Mechanical Sciences
Online Access:http://www.mech-sci.net/4/199/2013/ms-4-199-2013.pdf
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spelling doaj-40631bbbbff641f99315a4b38bc7602e2020-11-24T22:19:32ZengCopernicus PublicationsMechanical Sciences2191-91512191-916X2013-05-014119921910.5194/ms-4-199-2013ROBOTRAN: a powerful symbolic gnerator of multibody modelsN. DocquierA. PonceletP. FisetteThe computational efficiency of symbolic generation was at the root of the emergence of symbolic multibody programs in the eighties. At present, it remains an attractive feature of it since the exponential increase in modern computer performances naturally provides the opportunity to investigate larger systems and more sophisticated models for which real-time computation is a real asset. <br><br> Nowadays, in the context of mechatronic multibody systems, another interesting feature of the symbolic approach appears when dealing with enlarged multibody models, i.e. including electrical actuators, hydraulic devices, pneumatic suspensions, etc. and requiring specific analyses like control and optimization. Indeed, since symbolic multibody programs clearly distinguish the modeling phase from the analysis process, extracting the symbolic model, as well as some precious ingredients like analytical sensitivities, in order to export it towards any suitable environment (for control or optimization purposes) is quite straightforward. Symbolic multibody model portability is thus very attractive for the analysis of mechatronic applications. <br><br> In this context, the main features and recent developments of the ROBOTRAN software developed at the Université catholique de Louvain (Belgium) are reviewed in this paper and illustrated via three multibody applications which highlight its capabilities for dealing with very large systems and coping with multiphysics issues.http://www.mech-sci.net/4/199/2013/ms-4-199-2013.pdf
collection DOAJ
language English
format Article
sources DOAJ
author N. Docquier
A. Poncelet
P. Fisette
spellingShingle N. Docquier
A. Poncelet
P. Fisette
ROBOTRAN: a powerful symbolic gnerator of multibody models
Mechanical Sciences
author_facet N. Docquier
A. Poncelet
P. Fisette
author_sort N. Docquier
title ROBOTRAN: a powerful symbolic gnerator of multibody models
title_short ROBOTRAN: a powerful symbolic gnerator of multibody models
title_full ROBOTRAN: a powerful symbolic gnerator of multibody models
title_fullStr ROBOTRAN: a powerful symbolic gnerator of multibody models
title_full_unstemmed ROBOTRAN: a powerful symbolic gnerator of multibody models
title_sort robotran: a powerful symbolic gnerator of multibody models
publisher Copernicus Publications
series Mechanical Sciences
issn 2191-9151
2191-916X
publishDate 2013-05-01
description The computational efficiency of symbolic generation was at the root of the emergence of symbolic multibody programs in the eighties. At present, it remains an attractive feature of it since the exponential increase in modern computer performances naturally provides the opportunity to investigate larger systems and more sophisticated models for which real-time computation is a real asset. <br><br> Nowadays, in the context of mechatronic multibody systems, another interesting feature of the symbolic approach appears when dealing with enlarged multibody models, i.e. including electrical actuators, hydraulic devices, pneumatic suspensions, etc. and requiring specific analyses like control and optimization. Indeed, since symbolic multibody programs clearly distinguish the modeling phase from the analysis process, extracting the symbolic model, as well as some precious ingredients like analytical sensitivities, in order to export it towards any suitable environment (for control or optimization purposes) is quite straightforward. Symbolic multibody model portability is thus very attractive for the analysis of mechatronic applications. <br><br> In this context, the main features and recent developments of the ROBOTRAN software developed at the Université catholique de Louvain (Belgium) are reviewed in this paper and illustrated via three multibody applications which highlight its capabilities for dealing with very large systems and coping with multiphysics issues.
url http://www.mech-sci.net/4/199/2013/ms-4-199-2013.pdf
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