Development of an open source multi-platform software tool for parameter estimation studies in FMI models

  • Bonilla J
  • Carballo J
  • Roca L
  • et al.
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Abstract

This paper presents the current development of an open source multi-platform software tool intended for estimat-ing or optimizing parameters of Functional Mock-up In-terface (FMI) compliant models. Parameter estimation and optimization is a powerful tool in many engineer-ing and science fields. Nevertheless, the effort and time that must be devoted to coupling and integrating com-plex modeling languages and tools together with analy-sis and optimization methods and algorithms sometimes is high. As a consequence of that, commonly the most con-venient and easy-to-use optimization mechanisms are ap-plied. Therefore, the focus on the development of this tool is in facilitating such coupling while being customizable. The main toolkit and libraries used in the development of the tool are presented, all of them are open source. Two application examples are also presented, one of them is a parameter optimization study considering a steady state model, while the other is a parameter estimation study of a dynamic model against experimental data. Finally, current tool limitations are presented, ongoing work and ideas for future features are also commented.

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APA

Bonilla, J., Carballo, J. A., Roca, L., & Berenguel, M. (2017). Development of an open source multi-platform software tool for parameter estimation studies in FMI models. In Proceedings of the 12th International Modelica Conference, Prague, Czech Republic, May 15-17, 2017 (Vol. 132, pp. 683–692). Linköping University Electronic Press. https://doi.org/10.3384/ecp17132683

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