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Optimizing Propellant Distribution for Interorbital Transfers

Author

Listed:
  • J. De Curtò

    (Informatik und Mathematik, GOETHE-University Frankfurt am Main, 60323 Frankfurt am Main, Germany
    Escuela Técnica Superior de Ingeniería (ICAI), Universidad Pontificia Comillas, 28015 Madrid, Spain
    Estudis d’Informàtica, Multimèdia i Telecomunicació, Universitat Oberta de Catalunya, 08018 Barcelona, Spain)

  • I. De Zarzà

    (Informatik und Mathematik, GOETHE-University Frankfurt am Main, 60323 Frankfurt am Main, Germany
    Estudis d’Informàtica, Multimèdia i Telecomunicació, Universitat Oberta de Catalunya, 08018 Barcelona, Spain
    Escuela Politècnica Superior, Universidad Francisco de Vitoria, 28223 Pozuelo de Alarcón, Spain)

Abstract

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.

Suggested Citation

  • J. De Curtò & I. De Zarzà, 2024. "Optimizing Propellant Distribution for Interorbital Transfers," Mathematics, MDPI, vol. 12(6), pages 1-19, March.
  • Handle: RePEc:gam:jmathe:v:12:y:2024:i:6:p:900-:d:1359421
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    References listed on IDEAS

    as
    1. J. de Curtò & I. de Zarzà & Carlos T. Calafate, 2023. "UWB and MB-OFDM for Lunar Rover Navigation and Communication," Mathematics, MDPI, vol. 11(18), pages 1-19, September.
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