Livia Marciano
Multi-Objective Optimization of Satellite Deorbiting Maneuvers Considering Collision Risk.
Rel. Lorenzo Casalino. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Aerospaziale, 2025
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Abstract
The accumulation of space objects in Low Earth Orbit (LEO) is the result of decades of space activities lacking proper regulations and accountability, as well as the recent proliferation of large multi-satellite concepts, such as mega-constellations. The presence of these objects in LEO, including both active satellites and debris, poses increasingly higher risks to space assets and their operations, due to potential collisions between them. Alongside various actions that the space industry is undertaking to mitigate this issue, the disposal of satellites plays a central role. Disposal can be actively performed employing a propulsion system, either electric or chemical. The optimal disposal strategy depends on a series of factors, creating potential trade-off opportunities between maneuvering effort, which relates to the system capabilities and its mass, and the cumulative probability of collision during the disposal phase, which is a function of the LEO regions crossed and the residence time.
This work proposes a study with a multi-objective approach aimed at automating the search for optimal deorbiting maneuvers, minimizing Delta V and cumulative collision risk
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