Satellite Constellation End-of-Life Dependability Assessment with AltaRica 3.0
Research and innovation REF: RE451 V1

Satellite Constellation End-of-Life Dependability Assessment with AltaRica 3.0

Authors : Benoît SAINT-GEORGES, David MAILLAND

Publication date: March 10, 2023, Review date: December 18, 2025 | Lire en français

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Overview

ABSTRACT

This article presents an innovative approach for the assessment of end-of-life dependability and performance of a satellite constellation inspired from Thales Alenia Space (TAS) referent Telecommunications Constellation System. This work has been done in the context of a cooperation between Thales Alenia Space Dependability and Safety teams and students from the Science et Défis du Spatial program at Ecole Polytechnique. The activity was coordinated by David Mailland (TAS) and benefited from the support of Michel Batteux (IRT-SystemX).

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 INTRODUCTION

The space industry has recently witnessed a surge in constellation-based programs. These new generation projects, characterised by their large scale and significantly shortened development cycles, require manufacturers to adapt to a pace that markedly differs from that of traditional space missions. One of the key features of such constellations is the integration of technologies not originally developed for space applications. A major challenge thus lies in reliably assessing the dependability of these technologies and the systems that incorporate them. Industrial stakeholders such as Thales Alenia Space (TAS) are actively investigating innovative approaches to address this issue [SE 8 260][SE 1 221] .

In this context, and with the objective of supporting the development of future communication or navigation constellations, it is relevant to explore emerging methodologies such as Model-Based Safety Assessment (MBSA). This approach to reliability engineering is increasingly gaining traction within the engineering community, although it remains an area of active research and development. MBSA is designed to complement traditional reliability and safety analyses. It aims not only to deliver comparable results more efficiently, but also to offer novel tools for system analysis. The method relies on explicitly modelling failure propagation through systems using dedicated modelling languages. As a relatively recent technique, MBSA fosters improved collaboration between systems engineers and reliability specialists, particularly in the context of constellation architectures where complexity and scalability are key considerations. The present study has two primary objectives: first, to evaluate the relevance and practical benefits of the MBSA methodology in the context...

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KEYWORDS

Model-Based Safety Assesment (MBSA)   |   telecommunications constellation system   |   programming language Python   |   reliability

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