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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    Title :

    Recursive Attitude Prediction


    Additional title:

    J of Astronaut Sci


    Contributors:

    Published in:

    Publication date :

    2000-06-01


    Size :

    13 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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