Local wind velocities, angle of attack, and lift coefficients of a fixed-wing unmanned aerial vehicle (UAV) are estimated by fusing kinematic, aerodynamic, and stochastic wind models with data from an inertial measurement unit, a global navigation satellite system receiver, and a pitot-static tube in a moving horizon estimator. Experimental validation with two different UAVs and two sensor sets of different quality shows promising results for both wind velocity and angle of attack estimation.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Moving Horizon Estimation of Air Data Parameters for UAVs


    Beteiligte:


    Erscheinungsdatum :

    01.06.2020


    Format / Umfang :

    5386750 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Decentralized Moving Horizon Estimation for a Fleet of UAVs

    D'Amato, Egidio / Notaro, Immacolata / Iodice, Barbara et al. | IEEE | 2022




    Three Dimensional Receding Horizon Control for UAVs

    Kuwata, Yoshiaki / How, Jonathan | AIAA | 2004


    Road Vehicle Tracking Using Moving Horizon Estimation

    Georgesan, Gejo / Surender, K. | Springer Verlag | 2022