基于全局非线性可分离的最小二乘法的飞机颤振模态参数辨识

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振动与冲击 ›› 2011, Vol. 30 ›› Issue (2) : 210-213.

论文

基于全局非线性可分离的最小二乘法的飞机颤振模态参数辨识

王建宏; 王道波

作者信息 +

Global nonlinear separable least square algorithm for the aircraftflutter model parameter identification

Wang Jian-hong; Wang Dao-bo

Author information +

文章历史 +

摘要

本文考虑在输入-输出数据都带有噪声的前提下，将偏差补偿最小二乘算法（CLS）进行推广得到非线性可分离的最小二乘算法（NSLS）。采用适用于噪声环境的非线性可分离的最小二乘算法可准确地辨识飞机的颤振模态参数，该算法结合传递函数模型，将带噪声系统的辨识问题转化为非线性可分离的最小二乘问题。利用该算法，两噪声的方差值和传递函数中的模型参数可分离地估计出来。最后利用试飞试验数据辨识飞机的系统参数，验证了该方法的有效性。

Abstract

In this paper, we extend the biased compensated least-squares method (CLS) to get the nonlinear separable least squares (NSLS) when the observed input-output data are corrupted with noise. The nonlinear separable least square algorithm is adopted for aircraft flutter modal parameter identification under noisy environment. Combing with a rational transfer function model, the identification of system with noisy data is transformed into a nonlinear separable least square problem. Using this algorithm, the noise variance parameters and the model parameters can be obtained separately. The simulation with real flight test data shows the efficiency of the algorithm.

导出引用

王建宏;王道波 . 基于全局非线性可分离的最小二乘法的飞机颤振模态参数辨识[J]. 振动与冲击, 2011, 30(2): 210-213

Wang Jian-hong;Wang Dao-bo. Global nonlinear separable least square algorithm for the aircraftflutter model parameter identification[J]. Journal of Vibration and Shock, 2011, 30(2): 210-213