航空学报 > 2015, Vol. 36 Issue (1): 373-380   doi: 10.7527/S1000-6893.2014.0267

高速飞行器热结构工作时变模态参数辨识

周思达, 刘莉, 李昱霖, 周小陈   

  1. 北京理工大学 宇航学院, 北京 100081
  • 收稿日期:2014-07-01 修回日期:2014-09-23 出版日期:2015-01-15 发布日期:2014-09-26
  • 通讯作者: 周思达,Tel.: 010-68918752 E-mail: zhousida@bit.edu.cn E-mail:zhousida@bit.edu.cn
  • 作者简介:周思达 男, 博士, 讲师。主要研究方向:飞行器结构动力学、时变结构动力学建模与辨识。 Tel: 010-68918752 E-mail: zhousida@bit.edu.cn
  • 基金资助:

    国家自然科学基金(11372036, 11402022); 北京理工大学基础研究基金(20120142009)

Operational identification of time-varying modal parameters for thermal structures of high-speed aerial vehicles

ZHOU Sida, LIU Li, LI Yulin, ZHOU Xiaochen   

  1. School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, China
  • Received:2014-07-01 Revised:2014-09-23 Online:2015-01-15 Published:2014-09-26
  • Supported by:

    National Natural Science Foundation of China (11372036, 11402022); Beijing Institute of Technology Foundation for Basic Research (20120142009)

摘要:

高速飞行器由于其很高的飞行速度而无可避免地受到气动加热作用的影响,进而引起结构特性的时变。采用理论或有限元方法(FEM)进行数值分析,难以获取反映结构在飞行(工作)状态下的真实模态参数。通过辨识获取高速飞行器热环境下的时变结构模态参数是一项十分具有挑战性的任务。针对此问题,引入参数化时频域的最大似然方法,对气动加热作用下的高速飞行器升力面结构的时变模态参数进行了辨识。通过模拟真实飞行状态的数值算例研究,说明参数化时频域的最大似然方法能够很好地辨识出低信噪比(SNR)情况下的模态频率和模态振型,验证了参数化时频域最大似然方法适用于具有显著时变特征的高速飞行器热结构的时变结构模态参数辨识,可为将来相关的工程研究和应用提供良好的理论支持。

关键词: 时变, 模态参数, 参数辨识, 高速飞行器, 热结构, 参数化, 最大似然

Abstract:

The high-speed aerial vehicles are unavoidably impacted by the aerodynamic heating effect due to their high speed, which may further result in the time-varying characteristics of their structures. The theoretical and finite element method (FEM)-based numerical approaches hardly acquire the real modal parameters of the in-flight (operational) aerial vehicles. Focusing on this problem, the parametric time-frequency-domain maximum likelihood method is introduced into the application of the high-speed aerial vehicles and the time-varying modal parameters are estimated by this parametric time-frequency-domain maximum likelihood method. Based on a high-fidelity simulation example, it is proved that the introduced method can identify the modal frequency and mode shapes even in the low signal noise ratio (SNR) cases and the method is suitable for the modal parameter estimation of thermal structures of high-speed aerial vehicles with notable time-varying natures, which can theoretically support the relative engineering studies and applications.

Key words: time-varying, modal parameter, parameter identification, high-speed aerial vehicles, thermal structures, parametric, maximum likelihood

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