A smoothing algorithm for joint input-state estimation in structural dynamics
Autor: | Steven Gillijns, Kristof Maes, Geert Lombaert |
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Rok vydání: | 2018 |
Předmět: |
0209 industrial biotechnology
Field (physics) Mechanical Engineering Structure (category theory) Aerospace Engineering 02 engineering and technology State (functional analysis) Sensor fusion 01 natural sciences Computer Science Applications Reduction (complexity) 020901 industrial engineering & automation Control and Systems Engineering Control theory 0103 physical sciences Signal Processing Joint (audio engineering) Focus (optics) 010301 acoustics Algorithm Smoothing Civil and Structural Engineering Mathematics |
Zdroj: | Mechanical Systems and Signal Processing. 98:292-309 |
ISSN: | 0888-3270 |
DOI: | 10.1016/j.ymssp.2017.04.047 |
Popis: | © 2017 Elsevier Ltd This paper presents a recursive algorithm where a time delay is considered in the estimation of the forces applied to a structure and the corresponding system states. In particular when the measured response is not collocated with the estimated forces, essential information on the estimated forces and/or system states is contained in the response at L consecutive time steps following the time step where the estimation is performed. The main focus in this paper is on the reduction in estimation uncertainty that can be achieved by so-called smoothing, i.e. by considering a time delay in the estimation. When the calculation of the gain matrices is included in the recursive estimation, the calculation time of the algorithm largely increases with the time delay. It is shown that a prior calculation of the steady-state gain matrices allows for a significant reduction of the calculation time. The presented algorithm is first verified using numerical simulations. Next, a validation is performed using data obtained from a field test on a footbridge. ispartof: Mechanical Systems and Signal Processing vol:98 pages:292-309 status: published |
Databáze: | OpenAIRE |
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