Abstract This paper presents an application of the Square Root-Unscented Kalman Filter (SR-UKF) to the estimation of aircraft system states and to the estimation of the total wind vector made up of a time-varying prevailing wind plus turbulence. The estimates are computed using conventional auto-pilot sensors with exponentially correlated measurement errors. The objective of this work is to investigate the convergence limitations of the estimates considering the covariance and correlation time constants of the measurement error models as well as the level of intensity of the turbulence.


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    Titel :

    Estimation of maneuvering aircraft states and time-varying wind with turbulence


    Beteiligte:
    Lee, Je Hyeon (Autor:in) / Sevil, Hakki Erhan (Autor:in) / Dogan, Atilla (Autor:in) / Hullender, David (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2013-09-24


    Format / Umfang :

    12 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Estimation of Maneuvering Aircraft States and Time-Varying Wind with Turbulence

    Lee, Je Hyeon / Sevil, Hakki / Dogan, Atilla et al. | AIAA | 2012


    Estimation of Maneuvering Aircraft States and Time-Varying Wind with Turbulence

    Lee, J.H. / Sevil, H. / Dogan, A. et al. | British Library Conference Proceedings | 2012



    Flutter of Maneuvering Aircraft

    Tuzcu, Ilhan / Nguyen, Nhan | ASCE | 2014