受控飞机运动问题中状态矢量坐标的鲁棒估计

Q3 Earth and Planetary Sciences Aerospace Systems Pub Date : 2023-05-25 DOI:10.1007/s42401-023-00224-7
A. V. Panteleev, E. A. Khvoshnyanskaya
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引用次数: 0

摘要

本文考虑的问题是为具有有限作用时间的线性连续非平稳动态系统的状态向量寻找一个 (H_{\infty } -\ )观测器。假定已知一个闭环线性连续确定性动态系统的数学模型,该模型带有一个最优线性调节器,该调节器是二次质量准则最小化的结果。在测量系统的线性模型中,我们找到了在有限外部影响和干扰情况下状态矢量坐标估计问题的解决方案。以 L_1011 型飞机的运动方程为例。
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Robust estimation of state vector coordinates in the controlled airplane motion problem

The problem of finding a \(H_{\infty } -\) observer of the state vector of a linear continuous non-stationary dynamic system with finite time of functioning is considered. It is assumed that a mathematical model of a closed-loop linear continuous deterministic dynamic system with an optimal linear regulator, found as a result of minimization of the quadratic quality criterion, is known. We find a solution to the problem of state vector coordinates estimation in the presence of limited external influences and disturbances in a linear model of the measuring system. As an example, the equations of motion of an L_1011-type airplane are used.

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来源期刊
Aerospace Systems
Aerospace Systems Social Sciences-Social Sciences (miscellaneous)
CiteScore
1.80
自引率
0.00%
发文量
53
期刊介绍: Aerospace Systems provides an international, peer-reviewed forum which focuses on system-level research and development regarding aeronautics and astronautics. The journal emphasizes the unique role and increasing importance of informatics on aerospace. It fills a gap in current publishing coverage from outer space vehicles to atmospheric vehicles by highlighting interdisciplinary science, technology and engineering. Potential topics include, but are not limited to: Trans-space vehicle systems design and integration Air vehicle systems Space vehicle systems Near-space vehicle systems Aerospace robotics and unmanned system Communication, navigation and surveillance Aerodynamics and aircraft design Dynamics and control Aerospace propulsion Avionics system Opto-electronic system Air traffic management Earth observation Deep space exploration Bionic micro-aircraft/spacecraft Intelligent sensing and Information fusion
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