Conference article

An Approach to the Calibration of Modelica Models

Miguel A. Rubio
Departamento de Informatica y Automatica, UNED, Juan del Rosal 16, 28040 Madrid, Spain

Alfonso Urquia
Departamento de Informatica y Automatica, UNED, Juan del Rosal 16, 28040 Madrid, Spain

Sebastian Dormido
Departamento de Informatica y Automatica, UNED, Juan del Rosal 16, 28040 Madrid, Spain

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Published in: Proceedings of the 1st International Workshop on Equation-Based Object-Oriented Languages and Tools

Linköping Electronic Conference Proceedings 24:12, p. 129–139

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Published: 2007-07-18

ISBN: 978-91-7519-822-4

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

Abstract

An approach to the calibration of Modelica models using genetic algorithms (GA) is presented. The functions required to perform the model calibration have been programmed in the Modelica language and structured in a Modelica library; called GAPILib. This Modelica library is intended for parameter estimation in any Modelica model; supporting simple-objective optimization. Model calibration with GAPILib does not require to perform model modifications. During the algorithm run; the user can interactively change the value of the GA parameters. In addition; GAPILib supports parameter sensitivity analysis; and it is well suited for parallel computing. GAPILib is a free library (available on http://www.euclides.dia.uned.es/GAPILib) that can be easily used; modified and extended.

The design; implementation and use of GAPILib are discussed in this manuscript. Its use is illustrated by means of a case study: the estimation of electrochemical parameters in fuel cell models; which have been composed using FuelCellLib Modelica library.

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