Article | Proceedings of the 10<sup>th</sup> International Modelica Conference; March 10-12; 2014; Lund; Sweden | An FMI-based Framework for State and Parameter Estimation

Title:
An FMI-based Framework for State and Parameter Estimation
Author:
Marco Bonvini: Simulation Research Group, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Michael Wetter: Simulation Research Group, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Michael D. Sohn: Simulation Research Group, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
DOI:
10.3384/ecp14096647
Download:
Full text (pdf)
Year:
2014
Conference:
Proceedings of the 10th International Modelica Conference; March 10-12; 2014; Lund; Sweden
Issue:
096
Article no.:
068
Pages:
647-656
No. of pages:
10
Publication type:
Abstract and Fulltext
Published:
2014-03-10
ISBN:
978-91-7519-380-9
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 proposes a solution for creating a model-based state and parameter estimator for dynamic systems described using the FMI standard. This work uses a nonlinear state estimation technique called unscented Kalman filter (UKF); together with a smoother that improves the reliability of the estimation. The algorithm can be used to support advanced control techniques (e.g.; adaptive control) or for fault detection and diagnostics (FDD). This work extends the capabilities of any modeling framework compliant with the FMI standard version 1.0.

Keywords: Nonlinear State and Parameter Estimation; Unscented Kalman Filter (UKF); Smoothing; Functional Mockup Interface (FMI); Fault Detection and Diagnosis (FDD)

Proceedings of the 10th International Modelica Conference; March 10-12; 2014; Lund; Sweden

Author:
Marco Bonvini, Michael Wetter, Michael D. Sohn
Title:
An FMI-based Framework for State and Parameter Estimation
DOI:
http://dx.doi.org/10.3384/ecp14096647
References:

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Proceedings of the 10th International Modelica Conference; March 10-12; 2014; Lund; Sweden

Author:
Marco Bonvini, Michael Wetter, Michael D. Sohn
Title:
An FMI-based Framework for State and Parameter Estimation
DOI:
http://dx.doi.org/10.3384/ecp14096647
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