Impulsive thrust collision avoidance for long-term space encounters - LAAS-Décision et Optimisation
Conference Papers Year : 2024

Impulsive thrust collision avoidance for long-term space encounters

Abstract

This paper investigates how chance-constrained optimization techniques can be applied to the problem of collision avoidance between an active satellite and a passive space debris. The goal is to minimize the fuel consumption needed to perform evasive maneuvers reducing the collision probability below a given threshold. Specifically, we focus on the long-term collision avoidance problem and we propose two different methods, i.e., a scenario approach and a novel direct convex relaxation approach, to optimize the avoidance maneuvers while enforcing constraints on the cumulative probability of collision. The performances of these approaches are compared with a risk-selection method, and the results highlight that the direct approach is competitive with the existing methods for long-term encounters while the scenario-based method is promising for future applications in the field of spacecraft collision avoidance.
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Dates and versions

hal-04710416 , version 1 (26-09-2024)

Identifiers

  • HAL Id : hal-04710416 , version 1

Cite

Matthieu Masson, Christian Artigues, Denis Arzelier, Fabrizio Dabbene, Mioara Joldeş, et al.. Impulsive thrust collision avoidance for long-term space encounters. 63rd IEEE Conference on Decision and Control, Dec 2024, Milan (Italie), Italy. ⟨hal-04710416⟩
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