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Compressive sensing-moving horizon estimator for periodic loads: experimental validation in structural dynamics with video-based measurements

Book Contribution - Book Chapter Conference Contribution

© Proceedings of ISMA 2018 - International Conference on Noise and Vibration Engineering and USD 2018 - International Conference on Uncertainty in Structural Dynamics. All rights reserved. The compressive sensing-moving horizon estimator (CS-MHE) is an approach for joint state/input estimation. It integrates compressive sensing principles into a moving horizon estimator, enabling to exploit shape functions to model an input, resulting in better observability and wider input bandwidth in comparison to other input models. The authors have recently extended the CS-MHE to the estimation of complex quantities. In particular, Fourier shape functions can be instrumental to model a load which exhibits some form of periodicity. This paper presents an experimental validation in which a structure is excited by a shaker with several force profiles whose Fourier transforms include up to four components. This allows to investigate the performance of the CS-MHE on a physical setup, by taking into account aspects such as the necessary window length of the MHE and the number of measurements points for a certain sparsity, which is governed by the spectral content of the force input.
Book: Proceeding of ISMA2018 and USD2018
Pages: 1487 - 1502
Number of pages: 16
ISBN:9789073802995
Publication year:2018
BOF-keylabel:yes
IOF-keylabel:yes
Authors from:Government, Higher Education
Accessibility:Open