Optimizing Propellant Distribution for Interorbital Transfers

The advent of space exploration missions, especially those aimed at establishing a sustainable presence on the Moon and beyond, necessitates the development of efficient propulsion and mission planning techniques. This study presents a comprehensive analysis of chemical and electric propulsion syste...

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Main Authors: J. De Curtò, I. De Zarzà
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/12/6/900
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author J. De Curtò
I. De Zarzà
author_facet J. De Curtò
I. De Zarzà
author_sort J. De Curtò
collection DOAJ
description The advent of space exploration missions, especially those aimed at establishing a sustainable presence on the Moon and beyond, necessitates the development of efficient propulsion and mission planning techniques. This study presents a comprehensive analysis of chemical and electric propulsion systems for spacecraft, focusing on optimizing propellant distribution for missions involving transfers from Low-Earth Orbit (LEO) to Geostationary Orbit (GEO) and the Lunar surface. Using mathematical modeling and optimization algorithms, we calculate the delta-v requirements for key mission segments and determine the propellant mass required for each propulsion method. The results highlight the trade-offs between the high thrust of chemical propulsion and the high specific impulse of electric propulsion. An optimization model is developed to minimize the total propellant mass, considering a hybrid approach that leverages the advantages of both propulsion types. This research contributes to the field of aerospace engineering by providing insights into propulsion system selection and mission planning for future exploration missions to the Moon, Mars, and Venus.
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spelling doaj.art-b6787eaca4994711a6090f912b9579dc2024-03-27T13:53:16ZengMDPI AGMathematics2227-73902024-03-0112690010.3390/math12060900Optimizing Propellant Distribution for Interorbital TransfersJ. De Curtò0I. De Zarzà1Informatik und Mathematik, GOETHE-University Frankfurt am Main, 60323 Frankfurt am Main, GermanyInformatik und Mathematik, GOETHE-University Frankfurt am Main, 60323 Frankfurt am Main, GermanyThe advent of space exploration missions, especially those aimed at establishing a sustainable presence on the Moon and beyond, necessitates the development of efficient propulsion and mission planning techniques. This study presents a comprehensive analysis of chemical and electric propulsion systems for spacecraft, focusing on optimizing propellant distribution for missions involving transfers from Low-Earth Orbit (LEO) to Geostationary Orbit (GEO) and the Lunar surface. Using mathematical modeling and optimization algorithms, we calculate the delta-v requirements for key mission segments and determine the propellant mass required for each propulsion method. The results highlight the trade-offs between the high thrust of chemical propulsion and the high specific impulse of electric propulsion. An optimization model is developed to minimize the total propellant mass, considering a hybrid approach that leverages the advantages of both propulsion types. This research contributes to the field of aerospace engineering by providing insights into propulsion system selection and mission planning for future exploration missions to the Moon, Mars, and Venus.https://www.mdpi.com/2227-7390/12/6/900space mission designpropellantinterorbital transfershybrid propulsion systems
spellingShingle J. De Curtò
I. De Zarzà
Optimizing Propellant Distribution for Interorbital Transfers
Mathematics
space mission design
propellant
interorbital transfers
hybrid propulsion systems
title Optimizing Propellant Distribution for Interorbital Transfers
title_full Optimizing Propellant Distribution for Interorbital Transfers
title_fullStr Optimizing Propellant Distribution for Interorbital Transfers
title_full_unstemmed Optimizing Propellant Distribution for Interorbital Transfers
title_short Optimizing Propellant Distribution for Interorbital Transfers
title_sort optimizing propellant distribution for interorbital transfers
topic space mission design
propellant
interorbital transfers
hybrid propulsion systems
url https://www.mdpi.com/2227-7390/12/6/900
work_keys_str_mv AT jdecurto optimizingpropellantdistributionforinterorbitaltransfers
AT idezarza optimizingpropellantdistributionforinterorbitaltransfers