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FEM-based eigenstructure recovery of a space truss with active members

Published online by Cambridge University Press:  08 April 2024

L. Boni Open the ORCID record for L. Boni [Opens in a new window] ,
G. Mengali Open the ORCID record for G. Mengali [Opens in a new window] ,
A.A. Quarta Open the ORCID record for A.A. Quarta [Opens in a new window]  and
M. Bassetto Open the ORCID record for M. Bassetto [Opens in a new window]
L. Boni
Affiliation:
Department of Civil and Industrial Engineering, University of Pisa, 56122 Pisa, Italy
G. Mengali
Affiliation:
Department of Civil and Industrial Engineering, University of Pisa, 56122 Pisa, Italy
A.A. Quarta*
Affiliation:
Department of Civil and Industrial Engineering, University of Pisa, 56122 Pisa, Italy
M. Bassetto
Affiliation:
Department of Civil and Industrial Engineering, University of Pisa, 56122 Pisa, Italy
*
Corresponding author: A.A. Quarta; Email: a.quarta@ing.unipi.it
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Abstract

Large truss structures have many potential applications in space, such as antennas, telescopes and space solar power plants. In this scenario, a natural concern is the susceptibility of these lightweight structures to be damaged during their operational life, due to impacts, transient thermal states and fatigue phenomena. The inclusion of active elements, equipped with sensor/actuator systems capable of modulating their shape and strength, makes it possible to transform the truss into a smart structure capable of remedying the damage, once it is detected. In this paper, a procedure is described that is capable of restoring at least the basic functionality of a composite truss for space applications, starting with the observation that damage has occurred, regardless of its specific location. The system eigenstructure is used as a benchmark for damage detection, as well as a target characteristic for the subsequent restoration activity. The observer/Kalman filter identification algorithm (OKID), in cascade with the eigensystem realization algorithm (ERA), is adopted to reconstruct, from sensor recordings, the dynamic response of the truss in terms of system state-space representation and eigen-characteristics. Finally, a static output feedback control is developed to recover the low-frequency dynamic behaviour of the truss. The entire procedure is tested using finite element analysis. All activities are coordinated in an innovative procedure that, within a unique Python language code, automatically generates finite element (FE) models, launches finite element analysis (FEA), extracts output data, implements OKID-ERA, processes the control law and applies it to the final FE simulation.

Keywords

large flexible structuresdamage assessmentfinite element methodsystem identificationpiezoelectric sensor/actuatorsstructural behavior control
Type
Research Article
Information
The Aeronautical Journal , First View , pp. 1 - 15
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Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of Royal Aeronautical Society

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