This paper presents the design of a neural network-based dynamic inversion (DI) controller for landing a fighter aircraft in a severe storm. The nonlinear equations of motion with the inclusion of turbulent windshear are described. Three radial basis function (RBF) neural networks (NN) are constructed to model the aileron, elevator and rudder control channels respectively. The aircraft speed is stabilized by using a proportional controller for the thrust channel. The effectiveness of the proposed controller is demonstrated with simulation results.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Neural network-based dynamic inversion controller for fighter aircrafts


    Additional title:

    Dynamischer Inversionsregler auf Basis eines neuronalen Netzwerks für Kampfflugzeuge


    Contributors:
    Pedro, J.O. (author) / Meyer, N.D. (author)


    Publication date :

    2009


    Size :

    6 Seiten, 8 Bilder, 16 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Design of neural controller system for concorde aircrafts

    Yildirim, S. / Erkaya, S. / Uzmay, I. | Tema Archive | 2004



    Automat Control of the Aircrafts- Lateral Movement using the Dynamic Inversion

    Mihai Lungu / Romulus Lungu / Lucian Grigorie | BASE | 2011

    Free access

    DYNAMIC TUNING OF AIRCRAFTS

    THOMASSIN JEAN / RAYKOWSKI LENA / BEGIN GILLES et al. | European Patent Office | 2022

    Free access