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星座碰撞规避的迭代学习构型保持方法CSCD
引用本文:陶昊宸,龙嘉腾,朱圣英,聂涛.星座碰撞规避的迭代学习构型保持方法CSCD[J].导航定位于授时,2022(6):48-57.
作者姓名:陶昊宸  龙嘉腾  朱圣英  聂涛
作者单位:北京理工大学宇航学院,北京 100081;深空自主导航与控制工信部重点实验室,北京 100081;飞行器动力学与控制教育部重点实验室,北京 100081
基金项目:国家自然科学基金(62003035);技术基础科研计划(JSQB2021602B002)
摘    要:针对低轨卫星星座运行中地球引力摄动的周期特性,基于迭代学习控制(ILC)方法,提出了星座碰撞规避的迭代学习构型保持方法。该方法由反馈控制和ILC两部分构成,分别抑制卫星运行过程中的非周期摄动和周期摄动对构型保持精度的影响,进而在地球非球形引力摄动未知条件下,通过相对构型的精确保持实现对星座卫星碰撞的有效规避。仿真结果表明,在地球J摄动影响下,与传统反馈控制相比,ILC方法以更小的控制输入实现了轨道保持精度的显著提升,进而在星座卫星轨道高度相近的情形下显著降低了碰撞风险,且控制器可在保证收敛性能的前提下,实现启动时间的灵活选择。

关 键 词:碰撞规避  迭代学习控制  星座  构型保持  轨道保持

Iterative Learning Control Based Formation-Keeping Method for Constellation Collision Avoidance
TAO Hao-chen,LONG Jia-teng,ZHU Sheng-ying,NIE Tao.Iterative Learning Control Based Formation-Keeping Method for Constellation Collision Avoidance[J].Navigation Positioning & Timing,2022(6):48-57.
Authors:TAO Hao-chen  LONG Jia-teng  ZHU Sheng-ying  NIE Tao
Institution:School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, China;Key Laboratory of Autonomous Navigation and Control for Deep Space Exploration, Ministry of Industry and Information Technology, Beijing 100081, China;Key Laboratory of Dynamics and Control of Flight Vehicle, Ministry of Education, Beijing 100081, China
Abstract:Due to the periodicity perturbation of low earth orbit (LEO) satellite constellations, an iterative learning control (ILC) based formation keeping method is proposed. The method consists of feedback control and ILC control which respectively attenuate the influence of aperiodic and periodic perturbation on the accuracy of formation keeping. Collision of constellation satellites can be effectively avoided by precise formation keeping under the condition of unknown earth''s non-spherical gravitational perturbation. The simulation shows that the ILC method greatly improves the precision of orbit keeping with a smaller control input under the influence of earth J2 perturbation compared to traditional feedback control, and the collision risk between constellation satellites with similar orbit heights is significantly reduced. The controller can be flexibly activated with the convergence ensured.
Keywords:Collision avoidance  Iterative learning control  Constellation  Formation keeping  Orbit keeping
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