AI-driven modeling and control of low earth orbit satellites

Q3 Earth and Planetary Sciences

Aerospace Systems Pub Date : 2024-12-21 DOI:10.1007/s42401-024-00328-8

H. A. Embaby, M. N. Ismail, A. H. Ibrahim, T. M. Habib

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引用次数: 0

Abstract

This review presents a groundbreaking approach for investigating low-satellite orbits through the derivation of comprehensive equations governing their motions. The present work also presents some of the forces affecting this motion at low satellite orbit levels. This paper also presents different numerical methods for solving the equations governing two-body problems. The goal is to develop a strong mathematical model for the satellite to find a suitable path for orbital movement. Due to the effects on the orbit, the orbit must be controlled. For this purpose, orbital control uses orbital maneuvers to move the satellite to the desired location. Some modern technology (intelligent modeling) was used to create a simulator to increase the mathematical accuracy of the model and control its orbit. The objective is to develop a comprehensive mathematical model of orbital motion. This includes the design of a control unit for satellite orbits and the application of optimization algorithms. Furthermore, it involves developing a neural network-based model for the orbital control system. This study aims to achieve the desired outcomes in satellite orbital motion control by integrating these components.

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人工智能驱动的近地轨道卫星建模与控制

这篇综述提出了一种突破性的方法，通过推导控制其运动的综合方程来研究低卫星轨道。本工作还介绍了在低卫星轨道水平上影响这种运动的一些力。本文还介绍了求解二体问题方程的不同数值方法。目标是建立一个强大的数学模型，使卫星能够找到合适的轨道运动路径。由于对轨道的影响，必须控制轨道。为此目的，轨道控制使用轨道机动将卫星移动到期望的位置。利用现代技术（智能建模）建立了仿真器，以提高模型的数学精度和轨道控制。目标是建立一个全面的轨道运动数学模型。这包括卫星轨道控制单元的设计和优化算法的应用。此外，它还涉及到基于神经网络的轨道控制系统模型的开发。本研究旨在将这些组成部分整合在一起，以达到卫星轨道运动控制的预期效果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Aerospace Systems Social Sciences-Social Sciences (miscellaneous)

CiteScore

1.80

自引率

0.00%

发文量

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