Ferdinando Grimaldi
Hybrid Trajectory Optimisations forMissions from Lagrangian Points in the Earth-Moon System.
Rel. Lorenzo Casalino. Politecnico di Torino, Master of science program in Aerospace Engineering, 2026
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Abstract
This Master's thesis aims to compute optimised orbital transfers in the Earth-Moon system using a hybrid optimisation framework combining a Genetic Algorithm, for global solution search, and Sequential Quadratic Programming, for local refinement. The following topics are analysed at a theoretical level: the main operational and future missions in the cislunar environment, in order to provide a broad overview of the explored space scenario; the fundamental astrodynamics needed to understand the physical mechanisms of the problem; and the state of the art of the optimisation algorithms used to fully exploit their capabilities. The optimised trajectories are referenced to the NRHO of a similar-Lunar Gateway mission and to circular orbits around the Earth and the Moon.
Several trajectories are tested in order to predict the behaviour of fuel consumption as a function of various parameters, such as the number of impulses, the inclination of the target orbit, and the total flight time of the transfer
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