bd Systems (a subsidiary of SAIC) has developed a suite of embedded relative navigation sensor fusion algorithms to enable NASA autonomous rendezvous and docking (AR&D) missions. Translational and rotational Extended Kalman Filters (EKFs) were developed for integrating measurements based on the vehicles' orbital mechanics and high-fidelity sensor error models and provide a solution with increased accuracy and robustness relative to any single relative navigation sensor. The filters were tested tinough stand-alone covariance analysis, closed-loop testing with a high-fidelity multi-body orbital simulation, and hardware-in-the-loop (HWIL) testing in the Marshall Space Flight Center (MSFC) Flight Robotics Laboratory (FRL).


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    Titel :

    Embedded Relative Navigation Sensor Fusion Algorithms for Autonomous Rendezvous and Docking Missions


    Beteiligte:

    Kongress:

    Institute of Navigation National Technical Meeting 2008: Innovating together Exploring the Future Uses of Navigation of Technology ; 2008 ; San Diego, CA, United States


    Erscheinungsdatum :

    28.01.2008


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Keine Angabe


    Sprache :

    Englisch




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