The maximum-likelihood algorithm, the Kalman filter, and smoother algorithms were applied to real flight data from a CH-47 helicopter (two flights) to estimate motion (attitude, position, and velocity) and sensor parameters (gains and biases of the rate gyros and accelerometers) of the craft. Performances of the algorithms were compared. Some attempts were also made to estimate sensor noise parameters.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen


    Exportieren, teilen und zitieren



    Titel :

    Application of Flight Path Reconstruction Algorithms for Flight Data of Helicopter


    Beteiligte:
    S. Sasaki (Autor:in)

    Erscheinungsdatum :

    1988


    Format / Umfang :

    25 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch




    Development of Helicopter Flight Path Models

    Fermelia, A. / Gyorog, D. A. / Flanigan, V. J. | IEEE | 1976


    Development of helicopter flight path models

    Fermelia, A. / Gyorog, D.A. / Flanigan, V.J. | Tema Archiv | 1976


    Flight Path Reconstruction for a Coaxial Helicopter Equipped with Rotational Accelerometers

    Hofmann, Rodolfo / Hosseini, Seyedbarzin / Fang, Xiang et al. | TIBKAT | 2023


    Flight Path Reconstruction for a Coaxial Helicopter Equipped with Rotational Accelerometers

    Hofmann, Rodolfo / Hosseini, Seyedbarzin / Fang, Xiang et al. | AIAA | 2023