Digital twinning for onboard health monitoring of solar panels for space exploration
File(s)
Accepted version
Author(s)
Solanki, Sachin
Di Fiore, Francesco
Mainini, Laura
Type
Conference Paper
Abstract
Spacecraft solar panels are among the most failure-prone subsystems, requiring onboard health monitoring to ensure reliable operation in harsh space environments. This work demonstrates and validates the FREEDOM digital twin for onboard near real-time health management of spacecraft solar arrays under limited computational resources. The twin is trained offline through a two-stage data-assimilation process, and operates online to predict degradation via inverse Bayesian optimization. Validation performed on a solar panel integrating AZUR SPACE 3C44 cells under incipient damages across a ten-year geostationary-orbit mission scenario yielded a mean damage-prediction error of 5.2 % with a computational time of 62 s.
Date Acceptance
2025-09-30
Citation
10th CEAS Aerospace Europe Conference and 28th AIDAA International Congress
Publisher
Materials Research Forum LLC
Journal / Book Title
10th CEAS Aerospace Europe Conference and 28th AIDAA International Congress
Copyright Statement
Subject to copyright. This paper is embargoed until publication.
Source
10th CEAS Aerospace Europe Conference and 28th AIDAA International Congress
Publication Status
Accepted
Start Date
2025-12-01
Finish Date
2025-12-04
Coverage Spatial
Turin, Italy