This paper presents the gust load alleviation (GLA) study of the aspect ratio 13.5 Common Research Model (CRM) wind-tunnel model. This study details the design of the GLA controller in preparation for wind-tunnel testing in the Transonic Dynamics Tunnel at NASA Langley Research Center. An aeroservolastic (ASE) model was first reduced using a model reduction method that takes advantage of the sinusoidal steady-state response. Then, the reduced model was used to design an extended-state Kalman filter which estimates the states and the sinusoidal gust input. The GLA control was then derived using the optimal control solution to a multi-objective cost function. The results of the GLA controller indicate a 75.6% reduction in wing-root strain while maintaining robust stability margins. The final paper will include performance under sub-optimal conditions, e.g., sensor noise, uncertainty in gust frequency, etc..


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    Titel :

    Gust Load Alleviation Control and Gust Estimation for a High Aspect Ratio Wing Wind Tunnel Model


    Beteiligte:
    Christopher Forte (Autor:in) / Nhan Nguyen (Autor:in) / Juntao Xiong (Autor:in)

    Kongress:

    AIAA SciTech Forum ; 2023 ; National Harbor, MD, US


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Keine Angabe


    Sprache :

    Englisch




    Gust Load Alleviation Control and Gust Estimation for a High Aspect Ratio Wing Wind Tunnel Model

    Forte, Christopher J. / Nguyen, Nhan T. / Xiong, Juntao | TIBKAT | 2023


    Gust Load Alleviation Control and Gust Estimation for a High Aspect Ratio Wing Wind Tunnel Model

    Forte, Christopher J. / Nguyen, Nhan T. / Xiong, Juntao | TIBKAT | 2023



    Gust Load Alleviation Control and Gust Estimation for a High Aspect Ratio Wing Wind Tunnel Model

    Forte, Christopher J. / Nguyen, Nhan T. / Xiong, Juntao | AIAA | 2023


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