Gust load alleviation using computational fluid dynamics as source of the aerodynamic predictions is carried out in the time domain. To this goal, an aeroservoelastic reduced-order model is generated. The model capitalizes on two key aspects: a dimensional reduction through proper orthogonal decomposition, further enhanced via balanced truncation, and an analytically derived mechanism to reproduce the gust effects in the reduced-order model. The compact model in state-space form thus obtained was then used for control design synthesis. Assuming that information on the structural motion only is accessible for feedback, a linear quadratic regular was designed first on the reduced model and then validated on the large computational model. Results are presented for two configurations: an aerofoil and the modified AGARD 445.6 wing, both with a trailing-edge control surface. Studies are presented for the gust response to discrete gusts and continuous turbulence. In particular, for the latter, the standard deviation of the loads and the structural motion was reduced as much as 77%.


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    Title :

    Computational-Fluid-Dynamics-Based Aeroservoelastic Analysis for Gust Load Alleviation


    Contributors:
    Chen, Gang (author) / Zhou, Qiang (author) / Ronch, Andrea Da (author) / Li, Yueming (author)

    Published in:

    Journal of Aircraft ; 55 , 4 ; 1619-1628


    Publication date :

    2018-07-01




    Type of media :

    Conference paper , Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English