This paper describes a heuristic approach to feedback flow control and illustrates its use for two flowfields: the flow around a tangent ogive at large angles of attack and the shear layer behind a backward-facing step. Both investigations followed the feedback flow control approach laid out in this paper; however, because of the very different flowfields and control goals, different techniques were selected for developing the most effective control strategy. The flow instabilities on the tangent ogive made this flow a good candidate for effective flow control. Unforced computational and experimental data showed the relevant flow features. With only four pressure sensors, the relevant flow features were controlled, and a prescribed side force signal could be tracked. For the shear layer, the control goal was to reduce the optical path difference, a control goal that cannot easily be observed in experiment or simulation. Using a wavenet autoregressive exogenous model, a reduction in optical path difference of 40% was achieved using a sensor array colocated with the aperture. Open-loop simulations showed the need to capture the effect of forcing startup and shutdown. Adaptive feedback resulted in a new flow state that the open-loop data had not captured.


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    Titel :

    Feedback Flow Control: A Heuristic Approach


    Beteiligte:
    Seidel, Jürgen (Autor:in) / Fagley, Casey (Autor:in) / McLaughlin, Thomas (Autor:in)

    Erschienen in:

    AIAA Journal ; 56 , 10 ; 3825-3834


    Erscheinungsdatum :

    2018-06-27


    Format / Umfang :

    10 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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