The Cassini spacecraft, the largest and most complex interplanetary spacecraft ever built, continues to undertake unique scientific observations of planet Saturn, Titan, Enceladus, and other moons of the ring world. In order to maintain a stable attitude during the course of its mission, this three-axis stabilized spacecraft uses two different control systems: the Reaction Control System (or RCS) and the Reaction Wheel Assembly (RWA) control system. In the course of its mission, Cassini performs numerous reaction wheel momentum biases (or unloads) using its reaction control thrusters. The use of the RCS thrusters often imparts undesired velocity changes (delta Vs) on the spacecraft and it is crucial for Cassini navigation and attitude control teams to be able to, quickly but accurately, predict the hydrazine usage and delta V vector in Earth Mean Equatorial (J2000) inertial coordinates for reaction wheel bias events, without actually having to spend time and resources simulating the event in a dynamic or hardware-in-the-loop simulation environments. The flight-calibrated methodology described in this paper, and the ground software developed thereof, are designed to provide the RCS thruster on-times, with acceptable accuracy and without any form of dynamic simulation, for reaction wheel biases, along with the hydrazine usage and the delta V in EME-2000 inertial frame.


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    Titel :

    A Flight-Calibrated Methodology for Determination of Cassini Thruster On-Times for Reaction Wheel Biases


    Beteiligte:
    Sarani, Sam (Autor:in)

    Kongress:

    AIAA Guidance, Navigation, and Control Conference ; 2010 ; Toronto, ON, Canada


    Erscheinungsdatum :

    2010-08-02


    Medientyp :

    Sonstige


    Format :

    Keine Angabe


    Sprache :

    Englisch




    A Flight-Calibrated Methodology for Determination of Cassini Thruster On-Times for Reaction Wheel Biases

    Sarani, S. / American Institute of Aeronautics and Astronautics | British Library Conference Proceedings | 2010





    Cassini Thruster Calibration Algorithm Using Reaction Wheel Biasing Data

    Rizvi, F. / American Institute of Aeronautics and Astronautics | British Library Conference Proceedings | 2012