This paper addresses the design of flight control system related to neural network-based adaptive dynamic surface control for the longitudinal motion of an airbreathing hypersonic vehicle. The control objective is to provide adaptive velocity and altitude tracking in the presence of the model uncertainties and unknown nonlinearities caused by changes of flight conditions. By approximating the unknown nonlinear functions by radial basis function networks, we incorporate the dynamic surface technique into a neural network based adaptive control design framework. The framework is adopted to design dynamic state-feedback controllers that provide stable tracking of velocity and altitude subsystems. Stability analysis shows that the control law can guarantee the uniformly ultimate boundedness of the solution of the closed-loop system and make the tracking error arbitrarily small.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Neural network-based adaptive dynamic surface control for an airbreathing hypersonic vehicle


    Beteiligte:
    Guangbin Cai, (Autor:in) / Guangren Duan, (Autor:in) / Changhua Hu, (Autor:in)


    Erscheinungsdatum :

    01.06.2010


    Format / Umfang :

    631197 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Adaptive Control of an Aeroelastic Airbreathing Hypersonic Cruise Vehicle

    Kuipers, Matthew / Mirmirani, Majdedin / Ioannou, Petros et al. | AIAA | 2007


    Nonlinear Control of a Airbreathing Hypersonic Vehicle

    Poulain, F. / Piet-Lahanier, H. / Serre, L. et al. | British Library Conference Proceedings | 2009


    Hypersonic Airbreathing Missile

    Hunt, J. L. / Lawing, P. L. / Marcum, D. C., Jr. | NTRS | 1978



    Hypersonic airbreathing propulsion

    Avery, W.H. / Dugger, G.L. | Engineering Index Backfile | 1964