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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

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


    Contributors:
    Weixiong Lu (author) / Qingzhen Zhang (author) / Kun Ni (author) / Song Ye (author)


    Publication date :

    2016-08-01


    Size :

    4325599 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English





    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