On the impact of model errors on input and state estimation in structural dynamic systems

Conference Paper (2024)
Authors

W. Petersen (Norwegian University of Science and Technology (NTNU))

Eliz Mari Lourens (TU Delft - Offshore Engineering, TU Delft - Dynamics of Structures)

K. Maes (Katholieke Universiteit Leuven)

Research Group
Dynamics of Structures
More Info
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Publication Year
2024
Language
English
Research Group
Dynamics of Structures
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en
Pages (from-to)
4262-4275
ISBN (electronic)
9789082893175
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Abstract

In applied structural dynamics, input and state estimation techniques are used to identify unmeasurable response quantities and unknown forces from limited sensor data. These estimators depend on mechanical state-space models, which can be inaccurate due to uncertainties in the systems' mass, damping, and stiffness (or equivalently, the modal parameters of a linear system). This work examines the impact of such model errors and their effects are characterized by a theoretical framework for error propagation to the estimated quantities. The results are exemplified in a numerical example of a mass-spring system. The characterization is a first step towards more focused attempts to develop algorithms in the realm of input and state estimation that are able to deal more robustly with numerical models subject to uncertainty.

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