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Methodology for a partly automated parameter identification for the validation of multi-domain models

 
: Kruse, D.; Schweers, C.; Trächtler, A.

:

American Society of Mechanical Engineers -ASME-:
ASME International Mechanical Engineering Congress and Exposition, IMECE 2014. Vol.11: Systems, Design, and Complexity : Montreal, Quebec, Canada, November 14–20, 2014
New York/NY.: ASME, 2014
ISBN: 978-0-7918-4960-6
Paper IMECE2014-37041, 10 pp.
International Mechanical Engineering Congress and Exposition (IMECE) <2014, Montreal>
English
Conference Paper
Fraunhofer IPT ()

Abstract
The paper presents a methodology for a partly automated parameter identification that is to validate multi-domain models. To this end an identification tool under MATLAB has been developed. It enables a partly automated procedure that uses established methods to identify parameters from complex, nonlinear multi-domain models. In order to integrate such multi-domain models into the tool, an interface based on the Functional Mock-up Interface (FMI) standard can be used. The interface makes the required identification parameters from the multi-domain model automatically available to the identification tool. Additionally a guideline is developed which describes the way in which the respective domain expert has to mark the required identification parameters during modeling. The needs for this methodology as well as its application are shown by a practical example from the industry, using Dymola, the FMI-standard, and MATLAB. The practical example deals with the model-based development of a new washing procedure. The paper presents a partly automated parameter identification for the validation of the absorption part of the multi-domain model. Besides, new approaches to the modelling of this kind of absorption effects will be detailed.

: http://publica.fraunhofer.de/documents/N-351378.html