摘要
随着卫星机动能力的不断提升,地球静止轨道(geostationary Earth orbit,GEO)航天器执行空间任务时的安全问题不容忽视。首先,针对目前编队航天器轨道机动中常用的脉冲推力模型和连续推力模型进行综述,并按照机动过程中的航天器数量区分“一对一航天器轨道机动”和“多航天器轨道机动”;其次,分析了微分对策理论、人工智能算法和生物群体智能算法在解决编队航天器轨道机动问题中的异同优劣;最后,从动力学模型、航天器数量类型和求解方法的视角就编队航天器轨道机动问题的特点进行对比分析。未来的研究重点在于提高算法效率及鲁棒性、增强模型适应性,以实现更加精确和高效的太空管理,保障GEO航天器在轨运行的稳定性和安全性。
With the continuous improvement of satellite maneuverability,the safety of geostationary Earth orbit(GEO)spacecraft during mission operations cannot be ignored.Firstly,the impulsive thrust model and continuous thrust model commonly used in formation spacecraft orbital maneuvers are reviewed,categorizing them into“one-to-one spacecraft orbital maneuvers”and“multi-spacecraft orbital maneuvers”based on the number of spacecraft involved.Secondly,the similarities,differences,advantages of differential game theory,artificial intelligence algorithms,and biological swarm intelligence algorithms in solving orbital maneuver problems of formation spacecraft are analyzed.Finally,a comparative analysis of the characteristics of formation spacecraft orbital maneuver problem is conducted from the perspectives of dynamic models,spacecraft quantity/types,and solution methods.Future research will focus on improving algorithm efficiency and robustness,enhancing model adaptability,and achieving more precise and efficient space management to ensure the stability and safety of GEO spacecraft in-orbit operations.
作者
薛锦妍
张雅声
陶雪峰
杨茗棋
赵帅龙
XUE Jinyan;ZHANG Yasheng;TAO Xuefeng;YANG Mingqi;ZHAO Shuailong(Graduate School,Space Engineering University,Beijing 101416,China;Space Engineering University,Beijing 101416,China)
出处
《系统工程与电子技术》
北大核心
2026年第1期290-300,共11页
Systems Engineering and Electronics
关键词
编队航天器
轨道机动
纳什均衡
微分对策
深度强化学习
spacecraft formation flying
orbital maneuver
Nash equilibrium
differential game
deep reinforcement learning
