To support Lunar Reconnaissance Orbiter’s extended science missions, an algorithm for autonomous optimization of fast occultation avoidance maneuvers was developed. The fast attitude maneuvers are inserted to the spacecraft attitude control system as trajectories to be tracked. Executing maneuvers in this way requires transmission and storage of a large number of time-tagged attitude waypoints on the spacecraft. For more efficient day-to-day operations, an interpolating filter was designed to perform onboard interpolation between sparse samples of commands. The interpolating filter – called FastXMan for efficient fast maneuvering – was patched into LRO’s flight software in late 2023 and is presently operational. This paper presents an overview of the issues related to the practical implementation of the filter and illustrates the flight performance of the new scheme.


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    Titel :

    Efficient Onboard Attitude Commanding for Fast Maneuvering of Lunar Reconnaissance Orbiter


    Beteiligte:
    M. Karpenko (Autor:in) / J. Levitas (Autor:in) / R. Cristi (Autor:in) / J. Miller (Autor:in) / S. Snell (Autor:in) / Y. Tedla (Autor:in) / K. Caldwell (Autor:in) / J. Halverson (Autor:in)

    Erscheinungsdatum :

    2024


    Format / Umfang :

    20 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch




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