Modelization of Low-Cost Maneuvers for an Areostationary Preliminary Mission Design

Author:

Sánchez-García Marta M.1ORCID,Barderas Gonzalo12ORCID,Romero Pilar12ORCID

Affiliation:

1. U.D. Astronomía y Geodesia, Facultad de Matemáticas, Universidad Complutense de Madrid, Plaza de las Ciencias, 3, E-28040 Madrid, Spain

2. Instituto de Matemática Interdisciplinar, Facultad de Matemáticas, Universidad Complutense de Madrid, Plaza de las Ciencias, 3, E-28040 Madrid, Spain

Abstract

The aim of this paper is to analyze the determination of interplanetary trajectories from Earth to Mars to evaluate the cost of the required impulse magnitudes for an areostationary orbiter mission design. Such analysis is first conducted by solving the Lambert orbital boundary value problem and studying the launch and arrival conditions for various date combinations. Then, genetic algorithms are applied to investigate the minimum-energy transfer orbit. Afterwards, an iterative procedure is used to determine the heliocentric elliptic transfer orbit that matches at the entry point of Mars’s sphere of influence with an areocentric hyperbolic orbit imposing specific conditions on inclination and periapsis radius. Finally, the maneuvers needed to obtain an areostationary orbit are numerically computed for different objective condition values at the Mars entry point to evaluate an areostationary preliminary mission cost for further study and characterization. Results show that, for the dates of the minimum-energy Earth–Mars transfer trajectory, a low value for the maneuvers to achieve an areostationary orbit is obtained for an arrival hyperbola with the minimum possible inclination and a capture into an elliptical trajectory with a low periapsis radius and an apoapsis at the stationary orbit. For a 2026 mission with a TOF of 304 for the minimum-energy Earth–Mars transfer trajectory, for a capture with a periapsis of 300 km above the Mars surface the value achieved will be 2.083 km/s.

Publisher

MDPI AG

Subject

Applied Mathematics,Computational Mathematics,General Engineering

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