Optimal design and robust analysis of a net of active devices for micro-vibration control of an on-orbit large space antenna

Angeletti, Federica; Gasbarri, Paolo; Sabatini, Marco

doi:10.1016/j.actaastro.2019.07.028

Cited by 35 publications

(15 citation statements)

References 22 publications

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“…Using Hamilton’s principle [ 44 ], the equilibrium equations of a flexible spacecraft can be obtained by evaluating the functionals associated to: the kinetic energy, the elastic potential of the system, the gravitational field, and the control actions (if any). Only the final equations of motion, Equations ( 2 )–( 4 ), are reported in this work for brevity’s sake while the methods leading to their derivation are covered in [ 44 , 45 , 46 ]. Hence, the governing translational, rotational, and modal base flexible equations of a flexible body under gravitational force, respectively, can be written as:

where the symbol × indicates the cross product operation between two vectors;

is the angular velocity of the spacecraft defined with respect to

; m ,

, and

, respectively, are the total mass of the spacecraft, the static moment, and its inertia tensor.…”

Section: Dynamics Of a Flexible Spacecraftmentioning

confidence: 99%

A Study on Structural Health Monitoring of a Large Space Antenna via Distributed Sensors and Deep Learning

Angeletti

Iannelli

Gasbarri

et al. 2022

Sensors

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Most modern Earth and Universe observation spacecraft are now equipped with large lightweight and flexible structures, such as antennas, telescopes, and extendable elements. The trend of hosting more complex and bigger appendages, essential for high-precision scientific applications, made orbiting satellites more susceptible to performance loss or degradation due to structural damages. In this scenario, Structural Health Monitoring strategies can be used to evaluate the health status of satellite substructures. However, in particular when analysing large appendages, traditional approaches may not be sufficient to identify local damages, as they will generally induce less observable changes in the system dynamics yet cause a relevant loss of payload data and information. This paper proposes a deep neural network to detect failures and investigate sensor sensitivity to damage classification for an orbiting satellite hosting a distributed network of accelerometers on a large mesh reflector antenna. The sensors-acquired time series are generated by using a fully coupled 3D simulator of the in-orbit attitude behaviour of a flexible satellite, whose appendages are modelled by using finite element techniques. The machine learning architecture is then trained and tested by using the sensors’ responses gathered in a composite scenario, including not only the complete failure of a structural element (structural break) but also an intermediate level of structural damage. The proposed deep learning framework and sensors configuration proved to accurately detect failures in the most critical area or the structure while opening new investigation possibilities regarding geometrical properties and sensor distribution.

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where the symbol × indicates the cross product operation between two vectors;

is the angular velocity of the spacecraft defined with respect to

; m ,

, and

, respectively, are the total mass of the spacecraft, the static moment, and its inertia tensor.…”

Section: Dynamics Of a Flexible Spacecraftmentioning

confidence: 99%

A Study on Structural Health Monitoring of a Large Space Antenna via Distributed Sensors and Deep Learning

Angeletti

Iannelli

Gasbarri

et al. 2022

Sensors

Self Cite

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show abstract

“…However, in multilink structures like multi-bae satellites (Ribet et al, 2018) and truss structures (Angeletti et al, 2019), multiple beams can connect at a single point. To understand this, considering a connection point ''q'' where multiple links join and concentrated loads ( Fq and Mq ) are applied, as shown in Figure 4.…”

Section: Multi-link Structures: Joint Conditionsmentioning

confidence: 99%

“…A fractional-order mathematical technique accompanied by an experiment is carried out by Muresan et al (2018) to study the active control of the flexible smart beam with both sensor and actuation properties. An intelligent, active structure comprising of actuators and sensors is introduced to counter undesired dynamic behavior during operation Angeletti et al (2019). Under this, multi-bay systems with active elements simulating satellite linkages were studied.…”

Section: Introductionmentioning

confidence: 99%

Geometrically exact, intrinsic mixed variational formulation for smart, slender multilink composite structures

Asdaque

Roy

2021

Journal of Intelligent Material Systems and Structures

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Flexible links are often part of massive aerospace structures like helicopter or wind turbine blades, satellite bae, airplane wings, and space stations. In the present work, a mixed variational statement based on intrinsic variables is derived for multilinked smart slender structures. Equations involved in the derivation do not involve approximations of kinematical variables to describe the deformation of the reference line or the rotation of the deformed cross-section of the slender links resulting in a geometrically exact formulation. Finite element equations are derived from weak formulation, which can analyze large geometrically non-linear problems. The weakest possible variational statement provides greater flexibility in the choice of shape functions, therefore reducing the associated numerical complexities. The present work focuses on developing a single integrated computational platform which can study multibody, multilink, lightweight composite, structural system built with both embedded actuations, sensing, as well as passive links. Validation of static mechanical and electrical outputs from 3D FE simulation and literature proves the efficacy of the computational platform. Dynamic results will be communicated in future correspondence. The computational platform developed here can be applied for monitoring and active control applications of flexible smart multilink structures like swept wings, multi-bae space structures, and helicopter blades.

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“…In addition, an optimal design of lenticular booms has been developed for its modal and wrapping analysis [ 10 , 11 , 12 ]. Experiments and numerical studies of the flattening and wrapping processes of deployable composite thin-walled lenticular tubes have been conducted [ 13 , 14 , 15 , 16 , 17 ]. A TRAC boom has been designed using a data-driven computational framework without considering the influence of the bonding web between two tape-springs [ 18 , 19 ].…”

Section: Introductionmentioning

confidence: 99%

Novel Four-Cell Lenticular Honeycomb Deployable Boom with Enhanced Stiffness

et al. 2022

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Composite thin-walled booms can easily be folded and self-deployed by releasing stored strain energy. Thus, such booms can be used to deploy antennas, solar sails, and optical telescopes. In the present work, a new four-cell lenticular honeycomb deployable (FLHD) boom is proposed, and the relevant parameters are optimized. Coiling dynamics analysis of the FLHD boom under a pure bending load is performed using nonlinear explicit dynamics analysis, and the coiling simulation is divided into three consecutive steps, namely, the flattening step, the holding step, and the hub coiling step. An optimal design method for the coiling of the FLHD boom is developed based on a back propagation neural network (BPNN). A full factorial design of the experimental method is applied to create 36 sample points, and surrogate models of the coiling peak moment (Mpeak) and maximum principal stress (Smax) are established using the BPNN. Fatigue cracks caused by stress concentration are avoided by setting Smax to a specific constraint and the wrapping Mpeak and mass of the FLHD boom as objectives. Non-dominated sorting genetic algorithm-II is used for optimization via ISIGHT software.

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Optimal design and robust analysis of a net of active devices for micro-vibration control of an on-orbit large space antenna

Cited by 35 publications

References 22 publications

A Study on Structural Health Monitoring of a Large Space Antenna via Distributed Sensors and Deep Learning

A Study on Structural Health Monitoring of a Large Space Antenna via Distributed Sensors and Deep Learning

Geometrically exact, intrinsic mixed variational formulation for smart, slender multilink composite structures

Novel Four-Cell Lenticular Honeycomb Deployable Boom with Enhanced Stiffness

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