Model-based virtual sensors by means of Modelica and FMI

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

Ladda ner artikelhttp://dx.doi.org/10.3384/ecp17132337

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

Linköping Electronic Conference Proceedings 132:37, s. 337-344

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Publicerad: 2017-07-04

ISBN: 978-91-7685-575-1

ISSN: 1650-3686 (tryckt), 1650-3740 (online)


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.


FMI, virtual sensors, pyFMI, Extended Kalman Filter


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