Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Zavoli, Alessandro"'
Publikováno v:
72nd International Astronautical Congress (IAC), 2021
This paper presents a novel algorithm, based on model predictive control (MPC), for the optimal guidance of a launch vehicle upper stage. The proposed strategy not only maximizes the performance of the vehicle and its robustness to external disturban
Externí odkaz:
http://arxiv.org/abs/2212.06518
Publikováno v:
73rd International Astronautical Congress (IAC), 2022
This paper presents a novel synthesis method for designing an optimal and robust guidance law for a non-throttleable upper stage of a launch vehicle, using a convex approach. In the unperturbed scenario, a combination of lossless and successive conve
Externí odkaz:
http://arxiv.org/abs/2210.14610
The ESA's JUICE mission will provide a thorough investigation of the Jupiter system and the Galilean moons during its nominal tour, comprising flybys of Europa and Callisto, and an orbital phase about Ganymede at the end of the mission. The 3GM exper
Externí odkaz:
http://arxiv.org/abs/2101.03401
Robust interplanetary trajectory design under multiple uncertainties via meta-reinforcement learning
Autor:
Federici, Lorenzo, Zavoli, Alessandro
Publikováno v:
In Acta Astronautica January 2024 214:147-158
This paper presents a convex programming approach to the optimization of a multistage launch vehicle ascent trajectory, from the liftoff to the payload injection into the target orbit, taking into account multiple nonconvex constraints, such as the m
Externí odkaz:
http://arxiv.org/abs/2008.13239
Autor:
Zavoli, Alessandro, Federici, Lorenzo
This paper investigates the use of Reinforcement Learning for the robust design of low-thrust interplanetary trajectories in presence of severe disturbances, modeled alternatively as Gaussian additive process noise, observation noise, control actuati
Externí odkaz:
http://arxiv.org/abs/2008.08501
This paper presents the main characteristics of the evolutionary optimization code named EOS, Evolutionary Optimization at Sapienza, and its successful application to challenging, real-world space trajectory optimization problems. EOS is a global opt
Externí odkaz:
http://arxiv.org/abs/2007.04681
Autor:
Benedikter, Boris, Zavoli, Alessandro
This note aims at providing a concise and self-contained document that describes a clear and easy-to-understand method, that could be useful for a reader that is approaching the linear-impulsive rendezvous topic for the first time, but that is also f
Externí odkaz:
http://arxiv.org/abs/1912.08038
This paper presents a methodology for the concurrent first-stage preliminary design and ascent trajectory optimization, with application to a Vega-derived Light Launch Vehicle. The reuse as first stage of an existing upper-stage (Zefiro 40) requires
Externí odkaz:
http://arxiv.org/abs/1910.03268
Autor:
Zavoli, Alessandro, Federici, Lorenzo, Benedikter, Boris, Casalino, Lorenzo, Colasurdo, Guido
This paper summarizes the solution approach and the numerical methods developed by the joint team Sapienza University of Rome and Politecnico di Torino (Team Sapienza-PoliTo) in the context of the 10th Global Trajectory Optimization Competition. The
Externí odkaz:
http://arxiv.org/abs/1909.11984