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Proceedings Paper

Monitoring and control of structures considering diverse uncertainties
Author(s): M. S. Miah; M. Kaliske
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Paper Abstract

The structures are coupled with smart technologies such as hybrid type damper demands appropriate control and monitoring scheme as generally show quite complex nonlinear behavior. Additionally, the structures are vulnerable due to environmental changes as well as for inherent nonlinearities of the used materials/devices. Therefore, dealing with various uncertainties are unavoidable in order to monitor any dynamical system. To do this end, the unscented Kalman filter (UKF) is employed and the structures are assumed to be accompanied with various uncertainties such as structural properties are corrupted, sensor noise, controller parameters. Further, it is also investigated that the complexity of monitoring of structural systems due to the uncertainty of initial covariance, especially, when the structural properties e.g. damping components are flawed. In order to perform numerical investigations an eight degree of freedom system is adopted and the viscous damping (VD) and negative stiffness (NS) and only with negative stiffness (WNS) schemes are employed to estimate the control force of virtual hybrid type control system. The investigated approach is capable of handling diverse uncertainties in addition to the process and measurement noise. The outcome will guide to evaluate the conditions (e.g. structural health) of erroneous system in a non-destructive manner by analyzing measured signals.

Paper Details

Date Published: 27 March 2019
PDF: 10 pages
Proc. SPIE 10970, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2019, 109701S (27 March 2019); doi: 10.1117/12.2514035
Show Author Affiliations
M. S. Miah, TU Dresden (Germany)
M. Kaliske, TU Dresden (Germany)

Published in SPIE Proceedings Vol. 10970:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2019
Jerome P. Lynch; Haiying Huang; Hoon Sohn; Kon-Well Wang, Editor(s)

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