多种颤振模态参数辨识方法对比研究
|
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.
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
[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.
[2]卢晓东.大型飞机颤振试飞低频密集模态参数辨识[J].飞行力学,2014,32(3):270-272.
[3]王彤,张令弥.有理分式正交多项式频响函数模态参数识别[J].航空学报,2003,24(2):140-143.
[4]Guillaume P.,Verboven P.,et al. A poly-reference implementat ion of the least-squares complex frequency-domain estimator[C].Proceedings of IMAC 21,Kis-simmee,FL,USA,Feb. 2003.
[5]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.
[2]卢晓东.大型飞机颤振试飞低频密集模态参数辨识[J].飞行力学,2014,32(3):270-272.
[3]王彤,张令弥.有理分式正交多项式频响函数模态参数识别[J].航空学报,2003,24(2):140-143.
[4]Guillaume P.,Verboven P.,et al. A poly-reference implementat ion of the least-squares complex frequency-domain estimator[C].Proceedings of IMAC 21,Kis-simmee,FL,USA,Feb. 2003.
[5]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.