飞行轨迹重构研究

A Study on Flight Path Reconstruction

本文建立了导弹飞行轨迹重构的数学模型,将轨迹重构问题转化为一非线性动态系统的参数估计问题。为了改善参数估计的收敛性,文中同时给出了一个使待估参数可控的算法,详尽的应用研究表明所建模型及估计方法正确、有效,但对导弹类闭环飞行器来说并非所有的常值及比例因子偏差都可同时辨识。

This paper sets up the mathematical model for flight path reconstruction of a missile flight test data, and the problem of flight path reconstruction is formulated as an identification problem of nonlinear dynamic system, which involves the estimation of bias and scale factor errors. In order to improve the convergence of extended kalman filter, a algorithm to make the bias terms controllable is presented. The results of practical application show that the mathematical model and estimation method are correct and valid.