Maria Henningsson
Modelon AB / Modelon Inc., Sweden
Johan Åkesson
Modelon AB / Modelon Inc., Sweden
Hubertus Tummescheit
Modelon AB / Modelon Inc., Sweden
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http://dx.doi.org/10.3384/ecp1409635Published in: Proceedings of the 10th International Modelica Conference; March 10-12; 2014; Lund; Sweden
Linköping Electronic Conference Proceedings 96:3, p. 35-42
Published: 2014-03-10
ISBN: 978-91-7519-380-9
ISSN: 1650-3686 (print), 1650-3740 (online)
Concepts from quality sciences; such as robust design; six-sigma; and design-of-experiments have had a large impact on product development in industry. These concepts are increasingly used in a model-based engineering context where data is gathered from simulation models rather than laboratory setups or prototypes.
This paper presents a framework to apply such ideas to analysis of dynamical systems. A set of tools that can be used for uncertainty analysis of dynamical Modelica models is presented. These tools are made available in the FMI Toolbox for MATLAB. The workflow and tools are demonstrated on a cooling loop design problem.
