A recursive, extended Kalman-filter approach is applied to the identifiction of rotor damping levels of representative helicopter dynamic systems. The general formulation of the approach is presented in the context of a typically posed stochastic estimation problem, and the method is analytically applied to determining the damping levels of a coupled rotor-body system. The identified damping covergence characteristics are studied for sensitivity to both constant-coefficient and periodic-coefficient measurement models, process-noise covariance levels, and specified initial estimates of the rotor-system damping. A second application of the method to identifying the plant model for a highly damped, isolated flapping blade with a constant-coefficient state model (hover) and a periodic-coefficient state model (forward flight) is also investigated. The parameter-identification capability is evaluated for the effect of periodicity on the plant model coefficients and the influence of different measurement noise levels.


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    Titel :

    Identification of helicopter rotor dynamic models


    Beteiligte:
    Molusis, J. A. (Autor:in) / Bar-Shalom, Y. (Autor:in) / Warmbrodt, W. (Autor:in)

    Kongress:

    Structures, Structural Dynamics and Materials Conference ; 1983 ; Lake Tahoe, NV


    Erscheinungsdatum :

    01.01.1983


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Keine Angabe


    Sprache :

    Englisch




    Identification of helicopter rotor dynamic models

    MOLUSIS, J. / BAR-SHALOM, Y. | AIAA | 1983


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