A harmful oscillation occurring in a wind-tunnel test often leads to the degradation of data quality and the limitation of the test envelope. Therefore, it needs to be avoided. With the aim of solving the vibration problem of the long cantilever sting used in wind tunnels, an active sting damper based on piezoelectric stacks is designed and its principle of controlling vibration is analyzed in this paper. To improve the damping effect and ensure the safety of wind-tunnel tests, a controller based on neural networks that is able to suppress multimodal vibration is detailed and established. A hardware platform composed of various instruments is developed, and related testing software is built to evaluate the damper as well as the control algorithm. Finally, broadband excitation and transonic wind-tunnel tests are carried out to verify the capability of the whole damping system. Experimental results indicate that the amplitude of vibration is dramatically reduced and the test angles of attack are enlarged, which show the superiority of the damper and the control algorithm.


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    Titel :

    Wind-Tunnel Evaluation for an Active Sting Damper Using Multimodal Neural Networks


    Beteiligte:
    Dai, Yuke (Autor:in) / Zhang, Lei (Autor:in) / Zhao, Zhenping (Autor:in) / Shen, Xing (Autor:in)

    Erschienen in:

    AIAA Journal ; 58 , 5 ; 1939-1948


    Erscheinungsdatum :

    2020-01-13


    Format / Umfang :

    10 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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