A new recursive attitude prediction method is derived for spacecraft equipped with attitude sensors, such as star cameras. The attitude predictor model is given in an autoregressive form (finite-difference model) and its model parameters are estimated by the prediction error approach with a quadratic norm. In this approach, concerns about system uncertainties (such as unknown external torque, inertia matrix, or initial conditions) are avoided by utilizing a kinematics-based model. Angular velocity is estimated as a byproduct of the attitude estimation algorithm. An example illustrates that the recursive attitude predictor estimates attitude trajectories accurately, for the case of a slowly rotating spacecraft, for a significant time interval without attitude measurements, which allows attitude to be predicted during intervals following occasional data dropout.


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    Titel :

    Recursive Attitude Prediction


    Weitere Titelangaben:

    J of Astronaut Sci


    Beteiligte:
    Kim, Hye-Young (Autor:in) / Juang, Jer-Nan (Autor:in) / Junkins, John (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    01.06.2000


    Format / Umfang :

    13 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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    Recursive Attitude Prediction

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    Recursive Attitude Prediction

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    Recursive Attitude Prediction

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