The Deep Atmosphere Venus Investigation of Noble gases, Chemistry, and Imaging (DAVINCI) mission will launch in June 2029 and explore Venus via two flybys and a probe landing scheduled for June 2031. The goals of the mission are to study the origin, evolution, and current state of Venus and to understand if it was habitable at a point in the past. The entry, descent, and landing (EDL) concept of operations of the probe leverages on the successful Pioneer Venus large probe mission. The science objectives of the mission levy certain requirements on the EDL system, such as landing in the scientifically important Alpha Regio Tessera and telemetering several gigabytes of instrumentation data to the orbiting relay spacecraft before the probe impacts the surface. In order to optimize the EDL sequence of the lander and to verify key driving requirements, a six degree of freedom EDL flight mechanics simulation has been created based on the best available aerodynamic and atmospheric models valid for Venus. This paper describes the EDL modeling and simulation and summarizes the current flight mechanics results for the mission.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    DAVINCI Venus Entry, Descent, and Landing Modeling and Simulation


    Contributors:

    Conference:

    AIAA SciTech Forum 2023 ; 2023 ; National Harbor, MD, US


    Type of media :

    Miscellaneous


    Type of material :

    No indication


    Language :

    English




    DAVINCI Venus Entry, Descent, and Landing Modeling and Simulation

    Soumyo Dutta / Nelson G Guecha-Ahumada / Matthew B Garrison et al. | NTRS


    DAVINCI Venus Entry, Descent, and Landing Modeling and Simulation

    Dutta, Soumyo / Guecha-Ahumada, Nelson / Garrison, Matthew et al. | AIAA | 2023


    The Big Plunge at Venus: The DAVINCI Descent Phase

    Garrison, Matthew / Arney, Giada / Bartels, Arlin et al. | IEEE | 2023


    DAVINCI Venus Atmospheric Model Comparisons

    Chadalavada, Pardhasai / Andreini, Matthew J. / Manwell, Michael S. et al. | AIAA | 2024


    DAVINCI: Venus Atmospheric Model Comparisons

    Pardha Sai Chadalavada / Matthew J. Andreini / Michael S Manwell et al. | NTRS