Two methods were developed for online control design as part of a flight test e ort to examine the feasibility of the NASA Learn-to-Fly concept. The methods use an aerodynamic model of the aircraft that is being identified in real-time onboard the aircraft to adjust the control parameters. One method employs adaptive nonlinear dynamic inversion, whereas the other consists of a classical autopilot structure. E ects from the interaction between the realtime modeling and the developed control laws are discussed. The Learn-to-Fly concept has been deemed feasible based on successful flights of both a stable and unstable aircraft.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen


    Exportieren, teilen und zitieren



    Titel :

    Online Control Design for Learn-To-Fly


    Beteiligte:
    Snyder, Steven M (Autor:in) / Bacony, Barton (Autor:in) / Morelli, Eugene (Autor:in) / Frost, Susan (Autor:in) / Teubert, Christopher (Autor:in) / Okolo, Wendy (Autor:in)

    Kongress:

    AVIATION 2018 / Aviation Technology, Integration, and Operations Conference ; 2018 ; Atlanta, GA, United States


    Erscheinungsdatum :

    2018-06-25


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Keine Angabe


    Sprache :

    Englisch




    Online Control Design for Learn-To-Fly

    S. M. Snyder / B. Bacony / E. Morelli et al. | NTIS | 2018


    Online Control Design for Learn-to-Fly

    Snyder, Steven / Bacon, Barton / Morelli, Eugene A. et al. | AIAA | 2018


    Online Control Design for Learn-to-Fly (AIAA 2018-3311)

    Snyder, Steven / Bacon, Barton / Morelli, Eugene A. et al. | British Library Conference Proceedings | 2018


    AUTOPILOT DESIGN WITH LEARN-TO-FLY

    Snyder, Steven | TIBKAT | 2020


    Autopilot Design with Learn-to-Fly

    Snyder, Steven | AIAA | 2020