Fault in the propulsion system of UAVs is one of the main causes for incidents and loss of the aircraft. In electric propulsion systems typical faults are ball-bearing degradation leading to increased friction and losses, as well as propeller icing when operating in cold conditions. In this paper we propose a fault detection and isolation (FDI) framework that uses model-based estimators of the various faults, implemented with multiple Kalman and Bayes filters. The method is tested and shown to be effective in a simulation setup using a fixed-wing UAV simulator.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Detection and Isolation of Propeller Icing and Electric Propulsion System Faults in Fixed-Wing UAVs


    Beteiligte:
    Haaland, O. M. (Autor:in) / Wenz, A. W. (Autor:in) / Gryte, K. (Autor:in) / Hann, R. (Autor:in) / Johansen, T. A. (Autor:in)


    Erscheinungsdatum :

    15.06.2021


    Format / Umfang :

    1780170 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Propulsion System Modeling for Small Fixed-Wing UAVs

    Coates, Erlend M. / Wenz, Andreas / Gryte, Kristoffer et al. | IEEE | 2019



    A Review of Icing Research and Development of Icing Mitigation Techniques for Fixed-Wing UAVs

    Liang Zhou / Xian Yi / Qinglin Liu | DOAJ | 2023

    Freier Zugriff


    Fixed-wing electric aircraft contra-rotating propeller power system and fixed-wing electric aircraft

    GAO HONGJIANG / DU MINGHUAN | Europäisches Patentamt | 2020

    Freier Zugriff