This work presents robust and numerically efficient algorithms for designing low-thrust collision avoidance maneuvers in short-term encounters. The conjunction dynamics are developed in a tridimensional space and then projected onto the B-plane, centered at the secondary object. Energy- and fuel-optimal maneuvers are computed by constraining the collision probability or the miss distance. A fully analytical approach is derived for energy-optimal collision avoidance maneuvers, providing a good guess for the fuel-optimal problem. The proposed methods are validated in terms of efficiency and robustness in a simulated scenario accounting for environmental perturbations.

Low-Thrust Collision Avoidance Maneuver Optimization

De Vittori, A.;Di Lizia, P.;
2022-01-01

Abstract

This work presents robust and numerically efficient algorithms for designing low-thrust collision avoidance maneuvers in short-term encounters. The conjunction dynamics are developed in a tridimensional space and then projected onto the B-plane, centered at the secondary object. Energy- and fuel-optimal maneuvers are computed by constraining the collision probability or the miss distance. A fully analytical approach is derived for energy-optimal collision avoidance maneuvers, providing a good guess for the fuel-optimal problem. The proposed methods are validated in terms of efficiency and robustness in a simulated scenario accounting for environmental perturbations.
2022
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1221750
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