基于时序模型的颤振预测技术研究

详细信息    查看全文 | 推荐本文 |

英文篇名：Flutter Boundary Prediction Based on Time Series Models 作者：刘立坤 ; 张春蔚 ; 王东森 英文作者：Liu Likun;Zhang Chunwei;Wang Dongsen;Chinese Flight Test Establishment; 关键词：颤振边界预测 ; 时序模型 ; 遗忘因子最小二乘法 英文关键词：flutter boundary prediction;;time series models;;forgetting factor least square method 中文刊名：HKKX 英文刊名：Aeronautical Science & Technology 机构：中国飞行试验研究院; 出版日期：2018-11-15 出版单位：航空科学技术 年：2018 期：v.29;No.204 语种：中文; 页：HKKX201811005 页数：5 CN：11 ISSN：11-3089/V 分类号：24-28

摘要

本文主要研究了颤振边界预测应用技术,针对湍流激励下的结构响应数据,采用遗忘因子最小二乘法建立时序模型,结合Jury稳定性判据构造不同飞行速度下的稳定性参数,通过外推得到颤振临界速度预测结果。以仿真试验为例,讨论了临近边界速度大小和响应数据时间长度等因素对预测精度的影响。最后结合颤振风洞试验实测数据验证了该方法的合理性和工程实用性。
        The application of flutter boundary prediction based on time series models was researched. Established time series models with the forgetting factor least square method according to the structural responses under turbulence excitation. Constructed the stability parameters at different flight speeds using the Jury's stability criterion. The prediction results of the critical velocity of flutter were obtained then by extrapolation of the stability parameters. The velocity points and response signal length which influenced on the prediction results was discussed. Finally, the rationality and practicability of the method were verified by the measured data of flutter flight test.

引文

[1]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)
    [2]管德.气动弹性试验[M].北京:北京航空航天大学出版社,1986.Guan De.Aeroelastic test[M].Beijing:Beihang University Press,1986.(in Chinese)
    [3]许椿荫.防空导弹结构与强度[M].北京:中国宇航出版社,2006.Xu Chunmeng.Air defense missile structure and strength[M].Beijing:China Astronautic Publishing House,2006.(in Chinese)
    [4]郭洪涛.颤振试验数据处理技术研究[D].绵阳:中国空气动力研究与发展中心,2005.Guo Hongtao.Research on data processing technology of flutter test[D].Mianyang:China Aerodynamics Research and Development Center,2005.(in Chinese)
    [5]Jung L.System identification:Theory for the user[M].Beijing:Tsinghua University Press,2002.
    [6]Baldelli D H,Zeng J,Lind R,et al.Flutter-prediction tool for flight-test-based aeroelastic parameter-varying models[J].Journal of Guidance Control&Dynamics,2009,32(1):158-171.
    [7]Matsuzaki Y.Flutter boundary prediction based on Jury’s stability criterion:a review[C]//Aiaa/asme/asce/ahs/asc Structures,Structural Dynamics and Materials Conference,2011.
    [8]Matsuzaki Y.Flutter boundary prediction of digitalized smart multimode systems using steady-state responses[C]//Aiaa/asme/asce/ahs/asc Structures,Structural Dynamics and Materials Conference,2006.
    [9]Torii H,Matsuzaki Y.Flutter margin evaluation for three-mode discrete-time systems[J].Journal of Aircraft,2013,38(1):42-47.
    [10]AIAA.Flutter prediction of multimode systems from their turbulent responses by Jury’s criterion[C]//Aiaa/asme/asce/ahs/asc Structures,Structural Dynamics and Materials Conference,2013.
    [11]Matsuzakir Y.Flutter boundary prediction of an adaptive smart wing during process of adaptation[R].Proc Spie,2005:5764.
    [12]Matsuzaki Y,Torii H.Flutter boundary prediction of a smart wing in process of structural adaptation[C]//Aiaa/asme/asce/ahs/asc Structures,Structural Dynamics and Materials Conference,2007.