The stringent attitude determination accuracy and faster slew maneuver requirements demanded by present-day spacecraft control systems motivate the development of recursive nonlinear filters for attitude estimation. This paper presents the second-order filter development for the estimation of attitude quaternion using three-axis gyro and star tracker measurement data. Performance comparisons have been made by computer simulation of system models and filter mechanization. It is shown that the second-order filter consistently performs better than the extended Kalman filter when the performance index of the root sum square estimation error of the quaternion vector is compared. The second-order filter identifies the gyro drift rates faster than the extended Kalman filter. The uniqueness of this algorithm is the online generation of the time-varying process and measurement noise covariance matrices, derived as a function or the process and measurement nonlinearity, respectively.


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    Titel :

    Spacecraft attitude determination using a second-order nonlinear filter


    Beteiligte:
    Vathsal, S. (Autor:in)


    Erscheinungsdatum :

    01.12.1987



    Medientyp :

    Sonstige


    Format :

    Keine Angabe


    Sprache :

    Englisch





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