This paper focuses on the fuel-minimum in-plane spacecraft reconfiguration ma-neuver in 2 perturbed near-circular orbits. The reconfiguration problem is posed as a nonlinear optimal control problem and it is solved by two techniques, namely the Mixed-integer Linear Programming and the Particle Swarm Optimization. The control is assumed to be a piecewise constant function and a linear dynamics model based on relative orbit element parameterization is used to derive the fuel-optimal solution. Simulation results demonstrate the efficiency of both proposed methods, pointing out the performance in terms of computing time and accuracy.
Optimal continuous maneuvers for satellite formation reconfiguration in J2-perturbed orbits / Di Mauro, Giuseppe; Spiller, Dario; Bevilacqua, Riccardo; Curti, Fabio. - STAMPA. - 1:210009(2018), pp. 281-300. (Intervento presentato al convegno 2018 Space flight mechanics meeting. AIAA SciTech Forum 2018 tenutosi a Kissimmee; Florida) [10.2514/6.2018-0216].
Optimal continuous maneuvers for satellite formation reconfiguration in J2-perturbed orbits
Spiller, Dario;Curti, Fabio
2018
Abstract
This paper focuses on the fuel-minimum in-plane spacecraft reconfiguration ma-neuver in 2 perturbed near-circular orbits. The reconfiguration problem is posed as a nonlinear optimal control problem and it is solved by two techniques, namely the Mixed-integer Linear Programming and the Particle Swarm Optimization. The control is assumed to be a piecewise constant function and a linear dynamics model based on relative orbit element parameterization is used to derive the fuel-optimal solution. Simulation results demonstrate the efficiency of both proposed methods, pointing out the performance in terms of computing time and accuracy.File | Dimensione | Formato | |
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