RECONSTRUCTION OF MARS ORBITER MISSION TRAJECTORY USING GENERAL MISSION ANALYSIS TOOL
Mars Orbiter Mission is a mission carried out by ISRO (India Space Research Organization) to collect atmospheric, morphological, topology, and minerals on Mars. This mission uses 6 times the Orbit Rising Maneuver before making an orbital transfer to Mars, the aim is to adjust to the ability of th...
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Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/50047 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Mars Orbiter Mission is a mission carried out by ISRO (India Space Research
Organization) to collect atmospheric, morphological, topology, and minerals on Mars.
This mission uses 6 times the Orbit Rising Maneuver before making an orbital transfer
to Mars, the aim is to adjust to the ability of the thruster who is not able to at the same
time encourage spacecraft to enter the hyperbolic escape path from Earth to Mars.
Patched conic analysis divides the mission path into 3 phases, namely the geocentric
phase includes the transfer process from the parking orbit to the hyperbolic loose cross
through several times the orbit raising maneuver. The heliocentric phase starts from
the time the spacecraft exits the sphere of influence of the Earth to enter the sphere of
influence of Mars, assuming the Hohmann transfer. The Martian phase covers the cross
of hyperbolic arrivals from spacecraft entering the sphere of influence of Mars to
orbiting Mars after slowing maneuvers.
In this paper, the authors conducted a study in the form of a reconstruction of the Mars
Orbitter Mission trajectory using GMAT software. Furthermore, it is compared with
the patched conic method and 4-body problem simulation using Simulink. The
conclusion is that GMAT is a software suitable for reconstructing interplanetary
missions. The cause of the error in the simulation results is that this simulation has not
been able to model the entire mission properly, for example, thruster modeling, mission
sequence and mission timing. GMAT provides a fuel count with an error of 7.2% and
can reconstruct orbits with less than 1% error compared to mission data.
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