We describe performance improvement techniques for a multiple model adaptive estimator (MMAE) used to detect and identify control surface and sensor failures on an unmanned flight vehicle. Initially failure identification was accomplished within 4 s of onset, but by removing the "/spl beta/ dominance" effects, bounding the hypothesis conditional probabilities, retuning the Kalman filters, increasing the penalty for measurement residuals, decreasing the probability smoothing, and increasing residual propagation, the identification time was reduced to 2 s.<>


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    Titel :

    Performance enhancement of a multiple model adaptive estimator


    Beteiligte:
    Maybeck, P.S. (Autor:in) / Hanlon, P.D. (Autor:in)


    Erscheinungsdatum :

    1995-10-01


    Format / Umfang :

    9751462 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch