This paper extends the 6 degree-of-freedom successive convexification (SCvx) algorithm discussed in literature to account for time-varying mass properties in the representation of the attitude dynamics. Simulation results of a notional large-size lander performing the last minutes of Lunar powered descent with significant variations in the center-of-mass and moments of inertia over the duration of the trajectory are shown. Differences in the final optimal trajectories generated via SCvx are presented between the constant vs. variable mass property formulations for an in-plane and out-of-plane example.


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    Titel :

    Successive Convexification for Powered Descent Guidance with Time-Varying Mass Properties


    Beteiligte:
    Alex Hayes (Autor:in) / Jing Pei (Autor:in)

    Kongress:

    AIAA SciTech Forum and Exposition ; 2024 ; Orlando, FL, US


    Medientyp :

    Sonstige


    Format :

    Keine Angabe


    Sprache :

    Englisch


    Schlagwörter :