The aerocapture is a promising technique for the future human interplanetary missions. The Mars Sample Return was initially based on an insertion by aerocapture. A CNES orbiter Mars Premier was developed to demonstrate this concept. Mainly due to budget constraints, the aerocapture was cancelled for the French orbiter. A lot of studies were achieved during the three last years to develop and test different guidance algorithms (APC, EC, TPC, NPC). This work was shared between CNES and NASA, with a fruitful joint working group. To finish this study an evaluation campaign has been performed to test the different algorithms. The objective was to assess the robustness, accuracy, capability to limit the load, and the complexity of each algorithm. A simulation campaign has been specified and performed by CNES, with a similar activity on the NASA side to confirm the CNES results. This evaluation has demonstrated that the numerical guidance principal is not competitive compared to the analytical concepts. All the other algorithms are well adapted to guaranty the success of the aerocapture. The TPC appears to be the more robust, the APC the more accurate, and the EC appears to be a good compromise.


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    Titel :

    Aerocapture Guidance Algorithm Comparison Campaign


    Beteiligte:
    Rousseau, Stephane (Autor:in) / Perot, Etienne (Autor:in) / Graves, Claude (Autor:in) / Masciarelli, James P. (Autor:in) / Queen, Eric (Autor:in)

    Kongress:

    AIAA Atmospheric Flight Mechanics Conference and Exhibit ; 2002 ; Monterey, CA, United States


    Erscheinungsdatum :

    2002-01-01


    Medientyp :

    Preprint


    Format :

    Keine Angabe


    Sprache :

    Englisch


    Schlagwörter :


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    AIAA-2002-4822 Aerocapture Guidance Algorithm Comparison Campaign

    Rousseau, S. / Perot, E. / Graves, C. et al. | British Library Conference Proceedings | 2002


    Optimal Aerocapture Guidance

    Lu, Ping / Cerimele, Christopher J. / Tigges, Michael A. et al. | AIAA | 2015


    Optimal Aerocapture Guidance

    Ping Lu | Online Contents | 2015