摘要
介绍了颤振试飞中三种比较经典的频域模态参数辨识方法,分别是有理分式正交多项式法、最小二乘复频率法、频域子空间法。通过仿真算例研究了这三种方法对不同程度噪声下扫频响应数据的模态参数辨识效果。将其应用于真实试飞数据中,得到三种方法计算的典型模态频率及阻尼随速度的变化曲线。研究显示,有理分式正交多项式法在处理信噪比低、模态密集的数据时更加准确鲁棒。
This paper introduces three classical identification methods of modal parameters in frequency domain in flutter flight test, which are rational fraction orthogonal polynomial method, least square complex frequency method and frequency domain subspace method. The effects of these three methods on modal parameter identification of swept frequency response data under different degrees of noise are studied by simulation examples. It is applied to the real flight test data, and the typical modal frequency and damping versus velocity curves calculated by three methods are obtained. The research shows that the rational fraction orthogonal polynomial method is more accurate and robust when dealing with the data with low signal-to-noise ratio and high modal density.
引文
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