Alessia Tocca
Optimal Control Approach to Probabilistic Collision Avoidance under Orbital Perturbations.
Rel. Manuela Battipede, Luigi Mascolo. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Aerospaziale, 2026
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Abstract
The rapid growth of satellite constellations and the increasing congestion of low Earth orbit are intensifying the need for reliable and fuel-efficient collision avoidance strategies. When a potential conjunction is detected, spacecraft operators must rapidly determine corrective maneuvers capable of guaranteeing a safe miss distance while minimizing propellant consumption and operational impact. In this context, optimal control theory provides a powerful framework for computing efficient avoidance maneuvers under strict dynamical and operational constraints. This work presents an optimal-control approach for the design of minimum-propellant collision avoidance maneuvers in low Earth orbit. The proposed methodology combines collision risk assessment with indirect optimal control techniques.
A collision map is first constructed to analyze the relative encounter geometry and determine the radial displacement required to guarantee a safe separation at the predicted collision epoch
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