For an air-breathing Hypersonic Air Vehicle (HAV) in cruise flight, the model is strongly nonlinear and coupled and includes uncertain parameters. A pseudo-linear model is obtained by input/output feedback linearization, and a model reference adaptive controller is applied to it. Single Hidden Layer (SHL) Perceptron Neural Network (NN) is used to cancel model error online because of its good nonlinear approximation. Considering that large-span maneuver or strong disturbance can cause control surface saturation, Pseudo-Control Hedging (PCH) is introduced. Simulation results show that the proposed adaptive control system has well tracking performance, strong robustness and anti-input-saturation characteristics.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Adaptive Control with Pseudo-Control Hedging for a Hypersonic Air Vehicle


    Beteiligte:
    Weixiong Lu (Autor:in) / Qingzhen Zhang (Autor:in) / Kun Ni (Autor:in) / Song Ye (Autor:in)


    Erscheinungsdatum :

    01.08.2016


    Format / Umfang :

    4325599 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    A New Adaptive Control Architecture for Uncertain Dynamical Systems with Actuator Dynamics: Beyond Pseudo-Control Hedging

    Gruenwald, Benjamin C. / Yucelen, Tansel / Dogan, Kadriye Merve et al. | AIAA | 2018


    Adaptive Control of a Generic Hypersonic Vehicle

    Wiese, Daniel P. / Annaswamy, Anuradha M. / Muse, Jonathan A. et al. | AIAA | 2013


    An adaptive control method of flexible hypersonic vehicle

    Du, Xiaoxue / Xin, Wanqing / Xiao, Jin et al. | IEEE | 2017