Article | Proceedings of the 12th International Modelica Conference, Prague, Czech Republic, May 15-17, 2017 | Model-based virtual sensors by means of Modelica and FMI Linköping University Electronic Press Conference Proceedings
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Title:
Model-based virtual sensors by means of Modelica and FMI
Author:
Mikel Gonzalez Cocho: IK4-Ikerlan Technology Research Center, Control and Monitoring Area, Spain / KU Leuven, Department of Mechanical Engineering, Belgium Oscar Salgado: IK4-Ikerlan Technology Research Center, Control and Monitoring Area, Spain Jan Croes: KU Leuven, Department of Mechanical Engineering, Belgium /Member of Flanders Make, Belgium Bert Pluymers: KU Leuven, Department of Mechanical Engineering, Belgium /Member of Flanders Make, Belgium Wim Desmet: KU Leuven, Department of Mechanical Engineering, Belgium /Member of Flanders Make, Belgium
DOI:
10.3384/ecp17132337
Download:
Full text (pdf)
Year:
2017
Conference:
Proceedings of the 12th International Modelica Conference, Prague, Czech Republic, May 15-17, 2017
Issue:
132
Article no.:
037
Pages:
337-344
No. of pages:
8
Publication type:
Abstract and Fulltext
Published:
2017-07-04
ISBN:
978-91-7685-575-1
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet


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This paper presents an application case for the estimation of forces using Modelica and the FMI. For that purpose model-based virtual sensors are used. These techniques are presented and the development of the virtual sensor for Modelica and the FMI is discussed. The work has been done in Python where the package pyFMI is used with models exported with the FMI 2.0 for model exchange. The technique is used for the estimation of forces and the friction coefficient in a vertical transportation system. The model of this test bench is explained and the results of the estimation of forces and the friction coefficient are discussed. These estimations provide a valuable tool for the condition monitoring of guiding systems.

Keywords: FMI, virtual sensors, pyFMI, Extended Kalman Filter

Proceedings of the 12th International Modelica Conference, Prague, Czech Republic, May 15-17, 2017

Author:
Mikel Gonzalez Cocho, Oscar Salgado, Jan Croes, Bert Pluymers, Wim Desmet
Title:
Model-based virtual sensors by means of Modelica and FMI
DOI:
http://dx.doi.org/10.3384/ecp17132337
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Proceedings of the 12th International Modelica Conference, Prague, Czech Republic, May 15-17, 2017

Author:
Mikel Gonzalez Cocho, Oscar Salgado, Jan Croes, Bert Pluymers, Wim Desmet
Title:
Model-based virtual sensors by means of Modelica and FMI
DOI:
https://doi.org10.3384/ecp17132337
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