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首页> 外文期刊>Chinese journal of aeronautics >Flight Flutter Modal Parameters Identification with Atmospheric Turbulence Excitation Based on Wavelet Transformation
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Flight Flutter Modal Parameters Identification with Atmospheric Turbulence Excitation Based on Wavelet Transformation

机译：基于小波变换的大气湍流激励飞行颤振模态参数辨识

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摘要

In view of the feature of flight flutter test data with atmospheric turbulence excitation, a method which combines wavelet transformation with random decrement technique for identifying flight flutter modal parameters is presented. This approach firstly uses random decrement technique to gain free decays corresponding to the acceleration response of the structure to some non-zero initial conditions. Then the continuous Morlet wavelet transformation of the free decays is performed; and the Parseval formula and residue theorem are used to simplify the transformation. The maximal wavelet transformation coefficients in different scales are searched out by means of band-filtering characteristic of Morlet wavelet, and then the modal parameters are identified according to the relationships with maximal modulus and angle of the wavelet transform. In addition, the condition of modal uncoupling is discussed according to variation trend of flight flutter modal parameters in the flight flutter state. The analysis results of simulation and flight flutter test data show that this approach is not only simple, effective and feasible, but also having good noise immunity.
机译：鉴于飞行颤振测试数据具有大气湍流激励的特点，提出了一种结合小波变换和随机减量技术的飞行颤振模态参数识别方法。该方法首先使用随机减量技术来获得与结构对一些非零初始条件的加速度响应相对应的自由衰减。然后进行自由衰减的连续Morlet小波变换。并使用Parseval公式和残差定理来简化转换。利用Morlet小波的频带滤波特性，求出不同尺度下的最大小波变换系数，然后根据与小波变换的最大模量和角度的关系，确定模态参数。此外，根据飞行颤振状态下飞行颤振模态参数的变化趋势，讨论了模态解耦条件。仿真和飞行颤振测试数据的分析结果表明，该方法不仅简单，有效，可行，而且具有良好的抗噪能力。

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