Multi-objective optimisation of constellation deployment using low-thrust propulsion

Carlo, Marilena Di and Ricciardi, Lorenzo and Vasile, Massimiliano; (2016) Multi-objective optimisation of constellation deployment using low-thrust propulsion. In: AIAA/AAS Astrodynamics Specialist Conference, 2016. AIAA Space Forum . American Institute of Aeronautics and Astronautics Inc, AIAA, USA. ISBN 9781624104459 (https://doi.org/10.2514/6.2016-5577)

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Abstract

This work presents an analysis of the deployment of future constellations using a com-bination of low-thrust propulsion and natural dynamics. Different strategies to realise the transfer from the launcher injection orbit to the constellation operational orbit are investigated. The deployment of the constellation is formulated as a multi-objective optimisation problem that aims at minimising the maximum transfer ΔV, the launch cost and maximise at the same time the pay-off given by the service provided by the constellation. The paperwill consider the case of a typical constellation with 27 satellites in Medium Earth Orbit and the use of only two launchers, one of which can carry a single satellite. It will be demonstrated that some strategies and deployment sequences are dominant and provide the best trade-off between peak transfer ΔV and monetary pay-off.

  • Item type:Book Section
    ID code:60565
    Dates:
    Date
    Event
    13 September 2016
    Published
    5 May 2016
    Accepted
    Notes:©2016 AIAA Carlo, M. D., Ricciardi, L., & Vasile, M. (2016). Multi-objective optimisation of constellation deployment using low-thrust propulsion. In AIAA/AAS Astrodynamics Specialist Conference, 2016. (AIAA Space Forum). American Institute of Aeronautics and Astronautics Inc, AIAA. DOI: 10.2514/6.2016-5577
    Subjects:Technology > Motor vehicles. Aeronautics. Astronautics
    Department:Faculty of Engineering > Mechanical and Aerospace Engineering
    Depositing user: Pure Administrator
    Date deposited:28 Apr 2017 15:57
    Last modified:08 Apr 2024 13:36
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/60565
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