用模态控制的分解方法求解朗伯特问题的一种方法

Q3 Mathematics
N. Zubov, V. Ryabchenko, A. Proletarsky, A.A. Volochkova
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引用次数: 0

摘要

提出了一种求解椭圆轨道的兰伯特问题的新方法。采用基于离散动力系统多层分解的模态综合方法求解了由四个超越代数方程组成的系统,并将其应用于状态观测器辨识离散系统参数的问题。求解算法如下:对指定的方程组建立条件离散模型和识别离散模型(系统);给出了估计的初值;给出了残差方程的初始条件。利用模态综合的方法,解决了辅助系统的寻优控制问题,计算了状态观测器反馈系数矩阵。该矩阵用于预测状态向量,并得到平面轨道的精细估计参数。给出了用该算法求解朗伯问题的一个数值例子。实质上,提出了一种求解四阶非线性代数系统的方法,该方法可以推广到任意可观测阶的系统。该算法的特点是利用控制律,求解迭代过程的收敛速度可以有不同的“可调”速度
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On one Approach to the Solution of the Lambert Problem using the Decompositional Method of Modal Control
A new approach to the solution of the Lambert’s problem in spaceflight mechanics is proposed for elliptical orbits. The system of four transcendental algebraic equations is solved using the method of modal synthesis which is based on multilevel decomposition of discrete dynamic system and applied to solve the problem of identification of parameters of discrete system by a state observer. The solution algorithm is as follows: conditional and identification discrete models (systems) are built for the specified system of equations; initial values of estimates are given; initial conditions in the equations of residuals are formed. Using the method of modal synthesis, the problem of search for control of the auxiliary system is solved, as a result of which the matrix of state observer feedback coefficients is calculated. This matrix is used to predict the state vector and to obtain refined estimates --- parameters of the planar orbit. A numerical example of the Lambert’s problem solution using the proposed algorithm is given. In essence, an approach to the solution of nonlinear algebraic systems of the fourth order, which can be extended to systems of any observable order, is proposed. The peculiarity of the proposed algorithm is that the convergence of the iterative process of finding a solution can have a different "adjustable" speed using the control law
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来源期刊
CiteScore
1.10
自引率
0.00%
发文量
40
期刊介绍: The journal is aimed at publishing most significant results of fundamental and applied studies and developments performed at research and industrial institutions in the following trends (ASJC code): 2600 Mathematics 2200 Engineering 3100 Physics and Astronomy 1600 Chemistry 1700 Computer Science.
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