Abstract The ESA mission EnVision will address its main scientific questions through a detailed mapping of the surface and interior properties of Venus. A precise reconstruction of the spacecraft trajectory is a key requirement for the EnVision scientific investigations, including radio science. To precisely constrain the orbit evolution, refined models of the dynamical forces are included in the Precise Orbit Determination (POD) process. We developed a methodology based on a batch-sequential filter that enables a joint estimation of Venus gravity and atmospheric density. Our approach yields an accurate compensation of atmospheric mismodeling, simulated through semi-empirical predictions of the atmospheric density provided by general circulation models (GCM), e.g., Venus Climate Database (VCD). Numerical simulations of the EnVision radio science investigation were carried out by using a perturbative analysis of the dynamical forces, which accounts for atmospheric density errors 200%. By adjusting a set of atmospheric scale factors, our proposed strategy enables an estimation of the atmospheric density at the spacecraft altitudes with an accuracy of 25%. The improved dynamical model yields accuracies in the orbit reconstruction of 1–2 m, 30–40 m and 20–30 m in the radial, transverse and normal directions.

    Highlights We present an enhanced approach for the precise orbit determination of the ESA EnVision mission. Our method enables a joint determination of Venus’ gravity and atmospheric density. We discuss a thorough analysis of uncompensated atmospheric drag mismodeling. The retrieved atmospheric scale factors are used to correct Venus’ atmospheric model predictions.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Joint determination of Venus gravity and atmospheric density through EnVision radio science investigation



    Erschienen in:

    Acta Astronautica ; 215 ; 725-738


    Erscheinungsdatum :

    2023-12-05


    Format / Umfang :

    14 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    AUTONOMOUS AEROBRAKING IN VENUS: CORRIDOR CONTROL STRATEGIES FOR ENVISION

    Hermosin, Pablo / Torres, Alvaro Cano / Centuori, Simone | TIBKAT | 2022


    The Venus Emissivity Mapper - Obtaining Global Mineralogy of Venus from Orbit on the ESA EnVision and NASA VERITAS Missions to Venus

    Helbert, Jörn / Dyar, M. D. / Walter, Ingo et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2019

    Freier Zugriff

    Envision Houston Region

    Waskowiak, Patricia / Garber, Keith / Durham, Christy | Transportation Research Record | 2007


    Mit Envision® zur nachhaltigen Infrastrukturentwicklung

    Kumbruck, Nina / Möller, Tobias R. / Technische Universität Dresden, Institut für Wasserbau und technische Hydromechanik | HENRY – Bundesanstalt für Wasserbau (BAW) | 2020

    Freier Zugriff

    The Europa Clipper Gravity / Radio Science Investigation

    Pappalardo, R. T. / Senske, D. A. / Korth, H. et al. | NTRS | 2021