Volume 33 Issue 4
Apr.  2018
Turn off MathJax
Article Contents
Flutter boundary prediction research depending onsystem stability analysis methods[J]. Journal of Aerospace Power, 2018, 33(4): 980-988. doi: 10.13224/j.cnki.jasp.2018.04.025
Citation: Flutter boundary prediction research depending onsystem stability analysis methods[J]. Journal of Aerospace Power, 2018, 33(4): 980-988. doi: 10.13224/j.cnki.jasp.2018.04.025

Flutter boundary prediction research depending onsystem stability analysis methods

doi: 10.13224/j.cnki.jasp.2018.04.025
  • Received Date: 2016-10-31
  • Publish Date: 2018-04-28
  • A research was made on two flutter boundary prediction methods: flutter margin method and auto-regressive and moving average model (ARMA) stability analysis method. The influence of parameter identification errors on the accuracy of boundary prediction was analyzed through numerical simulation case. And the prediction effectiveness of these two methods was analyzed by two wind tunnel flutter tests. The results showed that: (1) the identified damping error had less influence on the criterion of flutter margin method than the identified frequency error, and ARMA stability analysis method was more sensitive to the identified damping error than flutter margin method contrastively, thus the flutter margin method had better robustness than ARMA stability analysis method. (2) For wing bending-torsion coupling flutter, these two criterions had approximate variation curves, which differed in order of magnitude approximating to the biquadrate of the sampling frequency, and good decreasing trends helpful to predict flutter boundary in advance were presented. (3) For in-plane bending flutter, ARMA stability analysis method may have better applicability than flutter margin method.

     

  • loading
  • [1]
    李扬,周丽,杨秉才.基于自然激励技术的颤振边界预测[J].航空动力学报,2016,31(11):2744-2749.LI Yang,ZHOU Li,YANG Bingcai.Flutter boundary prediction based on natural excitation technique[J].Journal of Aerospace Power,2016,31(11):2744-2749.(in Chinese)
    [2]
    SCHLIPPE B V.The question of spontaneous wing oscillation:determination of critical velocity through flight-oscillation tests[J].Luftfahrtforschung,1936,13(2):41-45.
    [3]
    DIMITRIADIS G,COPPER J E.Flutter prediction from flight flutter test data[J].Journal of Aircraft,2001,38(2):355-367.
    [4]
    COOPER J E,EMMET P R,WRIGHT J,et al.Envelope function:a tool for analyzing flutter data[J].Journal of Aircraft,1993,30(5):785-790.
    [5]
    WALLKER R,GUPTA N.Real-time flutter analysis[R].NASA-CR-170412,1984.
    [6]
    张伟伟,钟华寿,肖华,等.颤振飞行试验的边界预测方法回顾与展望[J].航空学报,2015,36(5):1367-1384.ZHANG Weiwei,ZHONG Huashou,XIAO Hua,et al.Review and prospect of flutter boundary prediction methods for flight flutter testing[J].Acta Aeronautica et Astronautica Sinica,2015,36(5):1367-1384.(in Chinese)
    [7]
    ZIMMERMAN N H,WEISSENBURGER J T.Prediction of flutter onset speed based on flight testing at subcritical speeds[J].Journal of Aircraft,1964,1(4):190-202.
    [8]
    HEEG J.Stochastic characterization of flutter using historical wind tunnel data[R].AIAA-2007-1769,2007.
    [9]
    ZENG J,KUKREJA S L.Flutter prediction for flight/wind-tunnel flutter test under atmospheric turbulence excitation[J].Journal of Aircraft,2013,50(6):1696-1709.
    [10]
    LEE B H K,BEN-NETICHA Z.Analysis of flight flutter test data[J].Canadian Aeronautics and Space Journal,2002,38(4):156-163.
    [11]
    POIREL D,DUNN S,PORTER J.Flutter-margin method accounting for modal parameter uncertainties[J].Journal of Aircraft,2005,42(5):1236-1243.
    [12]
    MATSUZAKI Y,ANDO Y.Estimation of flutter boundary from random responses due to turbulence at subcritical speeds[J].Journal of Aircraft,1981,18(10):826-868.
    [13]
    TORII H,MATSUZAKI Y.Flutter margin evaluation for discrete-time systems[J].Journal of Aircraft,2011,38(1):42-47.
    [14]
    MCNAMARAamara J J,FRIEDMANN P P.Flutter-boundary identification for time-domain computational aerolasticity[J].AIAA Journal,2007,45(7):1546-1555.
    [15]
    VINAGRE B,PODLUBNY I,HERNANDEZ A,et al.Some approximations of fractional order operators used in control theory and applications[J].Fractional Calculus and Applied Analysis,2000,3(3):231-248.
    [16]
    COPPER J E.Parameter estimation methods for flight flutter testing[R].Rotterdam:the 80th Meeting of AGARD Structures and Materials Panel,AGARD-CP-556,1995.
    [17]
    唐炜,史忠科.飞机颤振模态参数的频域子空间辨识[J].航空学报,2007,28(5):1175-1180.TANG Wei,SHI Zhongke.Subspace identification in frequency-domain applied to aircraft flutter modal parameter identification[J].Acta Aeronautica et Astronautica Sinica,2007,28(5):1175-1180.(in Chinese)
    [18]
    KOENIG K.Pretension and reality of flutter-relevant tests[R].Rotterdam:the 80th Meeting of the AGARD Structures and Materials Panel,AGARD-CP-566,1995.
    [19]
    沈路,李俊生,王鸿钧,等.改进Hilbert-Huang变换在齿轮故障诊断中的应用[J].航空动力学报,2009,24(8):1899-1903.SHEN Lu,LI Junsheng,WANG Hongjun,et al.Application of improved Hilbert-Huang transform method in gear fault diagnosis[J].Journal of Aerospace Power,2009,24(8):1899-1903.(in Chinese)
    [20]
    钟兢军,董聪.环境激励下识别结构模态自然激励-时域分解法[J].振动与冲击,2013,32(18):121-125.ZHONG Junjun,DONG Cong.Natural excitation technique-time domain decomposition algorithm for structural modal identification under ambient excitations[J].Journal of Vibration and Shock,2013,32(18):121-125.(in Chinese)
    [21]
    谭博,侯玉,郑华,等.一种改进的矩阵束模态参数估计方法[J].西北工业大学学报,2014,32(3):486-490.TAN Bo,HOU Yu,ZHENG Hua,et al.An improved matrix pencil algorithm for modal parameter identification[J].Journal of Northwestern Polytechnical University,2014,32(3):486-490.(in Chinese)
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (1051) PDF downloads(604) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return