Owing to the complexity of aircraft structural damage, directly measuring the pattern and severity of damage using onboard sensors is difficult. This paper proposes a linear parameter-varying (LPV) model–based online estimation and indirect adaptive control scheme for aircraft with severe structural damage. Specifically, the unmeasurable damage parameters are designed as the gain scheduling coefficients (GSCs) of the LPV model. By employing the proposed LPV model, the online computational load is significantly reduced compared with that of typical existing methods. Furthermore, an online identification algorithm with a Lyapunov stability guarantee is presented to estimate the GSCs, and an online-designed model reference controller that combines a state-feedback decoupling controller and a disturbance rejection term is adopted to implement attitude control. The closed-loop system is simulated with the National Aeronautics and Space Administration (NASA) generic transport model under a left wing tip damage scenario. The simulation results demonstrate that the proposed method can estimate GSCs and the uncertainty of the aircraft rapidly and accurately, and the closed-loop system precisely achieves the desired attitude responses.


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    Title :

    LPV Model-Based Multivariable Indirect Adaptive Control of Damaged Asymmetric Aircraft


    Contributors:
    Zhang, Jing (author) / Xu, Xieyu (author) / Yang, Lingyu (author) / Yang, Xiaoke (author)

    Published in:

    Publication date :

    2019-08-20




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown



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