Aerocapture is a method of spacecraft orbital insertion that has the potential to provide mass savings as compared to aerobraking. In particular, aerocapture at Venus is desirable due to high atmospheric density and potential for science return. While promising, accurate orbital insertion by means of aerocapture requires an active guidance, navigation, and control architecture. This paper documents the initial assessment of the performance of two guidance algorithms, a generalized numerical predictor corrector and the Fully-Numeric Predictor- corrector for Aerocapture Guidance, applied to smallsat aerocapture at Venus using two different simulation environments with equivalent simulation inputs. Nominal trajectory performance is assessed. In addition, Monte Carlo analysis is performed to compare each guidance algorithm’s performance under uncertainty.


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    Titel :

    Performance Analysis of SmallSat Aerocapture at Venus


    Beteiligte:
    Rafael Lugo (Autor:in) / Soumyo Dutta (Autor:in) / Daniel Matz (Autor:in) / Breanna Johnson (Autor:in) / Alejandro Pensado (Autor:in) / Evan Roelke (Autor:in) / John Aguirre (Autor:in) / Richard Powell (Autor:in)

    Kongress:

    AIAA Science and Technology (SciTech) Forum and Exposition 2023 ; 2023 ; National Harbor, MD, US


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Keine Angabe


    Sprache :

    Englisch




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