A New Method Based on a Multilayer Perceptron Network to Determine In-Orbit Satellite Attitude for Spacecrafts without Active ADCS Like UVSQ-SAT - INSU - Institut national des sciences de l'Univers Accéder directement au contenu
Article Dans Une Revue Remote Sensing Année : 2021

A New Method Based on a Multilayer Perceptron Network to Determine In-Orbit Satellite Attitude for Spacecrafts without Active ADCS Like UVSQ-SAT

Mustapha Meftah
Connectez-vous pour contacter l'auteur
Slimane Bekki
Alain Hauchecorne
  • Fonction : Auteur
  • PersonId : 914935
Philippe Keckhut
  • Fonction : Auteur
  • PersonId : 918122
Alain Sarkissian
Luc Damé
  • Fonction : Auteur
  • PersonId : 951213

Résumé

ClimatechangeislargelydeterminedbytheradiationbudgetimbalanceattheTopOfthe Atmosphere (TOA), which is generated by the increasing concentrations of greenhouse gases (GHGs). As a result, the Earth Energy Imbalance (EEI) is considered as an Essential Climate Variable (ECV) that has to be monitored continuously from space. However, accurate TOA radiation measurements remain very challenging. Ideally, EEI monitoring should be performed with a constellation of satellites in order to resolve as much as possible spatio-temporal fluctuations in EEI which contain important information on the underlying mechanisms driving climate change. The monitoring of EEI and its components (incoming solar, reflected solar, and terrestrial infrared fluxes) is the main objective of the UVSQ-SAT pathfinder nanosatellite, the first of its kind in the construction of a future constellation. UVSQ-SAT does not have an active determination system of its orientation with respect to the Sun and the Earth (i.e., the so-called attitude), a prerequisite in the calculation of EEI from the satellite radiation measurements. We present a new effective method to determine the UVSQ-SAT’s in-orbit attitude using its housekeeping and scientific sensors measurements and a well-established deep learning algorithm. One of the goals is to estimate the satellite attitude with a sufficient accuracy for retrieving the radiative fluxes (incoming solar, reflected solar, terrestrial infrared) on each face of the satellite with an uncertainty of less than ±5 Wm−2 (1σ). This new method can be extended to any other satellites with no active attitude determination or control system. To test the accuracy of the method, a ground-based calibration experiment with different attitudes is performed using the Sun as the radiative flux reference. Based on the deep learning estimation of the satellite ground-based attitude, the uncertainty on the solar flux retrieval is about ±16 Wm−2 (1σ). The quality of the retrieval is mainly limited by test conditions and the number of data samples used in training the deep learning system during the ground-based calibration. The expected increase in the number of training data samples will drastically decrease the uncertainty in the retrieved radiative fluxes. A very similar algorithm will be implemented and used in-orbit for UVSQ-SAT.
Fichier principal
Vignette du fichier
remotesensing-13-01185-v2.pdf (1.03 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

insu-03179798 , version 1 (24-03-2021)

Licence

Paternité - Pas d'utilisation commerciale

Identifiants

Citer

Adrien Finance, Mustapha Meftah, Thomas Boutéraon, Christophe Dufour, Slimane Bekki, et al.. A New Method Based on a Multilayer Perceptron Network to Determine In-Orbit Satellite Attitude for Spacecrafts without Active ADCS Like UVSQ-SAT. Remote Sensing, 2021, 13 (6), 1185 (17 p.). ⟨10.3390/rs13061185⟩. ⟨insu-03179798⟩
93 Consultations
60 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More