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一种小天体探测器绕飞轨道主动抗扰控制方法
引用本文:姚文龙,杨珂,邵巍,刘毅.一种小天体探测器绕飞轨道主动抗扰控制方法[J].宇航学报,2022,43(7):938-945.
作者姓名:姚文龙  杨珂  邵巍  刘毅
作者单位:1. 青岛科技大学自动化与电子工程学院,青岛 266061;2. 北京理工大学宇航学院,北京 100081
基金项目:国家重点研发计划(2019YFA0706500);;国家自然科学基金(61773227);
摘    要:针对小天体绕飞探测过程中,探测器受到的非球形引力摄动及太阳光压等多源扰动问题,结合绕飞探测的周期性特点,提出一种小天体探测器绕飞轨道主动抗扰控制方法。首先,通过迭代学习控制对小天体探测器受多源扰动影响产生的误差进行抑制,然后设计扰动观测器估计系统总扰动,构造自适应律实时估计扰动上界,进而设计控制律对总扰动进行主动补偿。最后以243Ida作为目标天体进行绕飞探测仿真分析,结果表明该控制方法能更加有效地提高小天体探测器的轨道跟踪控制精度。

关 键 词:小天体探测  绕飞段  轨道跟踪  主动抗扰  迭代学习控制  
收稿时间:2021-04-02

An Active Disturbance Rejection Control Method for Small Celestial Body Orbiting
YAO Wenlong,YANG Ke,SHAO Wei,LIU Yi.An Active Disturbance Rejection Control Method for Small Celestial Body Orbiting[J].Journal of Astronautics,2022,43(7):938-945.
Authors:YAO Wenlong  YANG Ke  SHAO Wei  LIU Yi
Institution:1. College of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao 266061, China;2. School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, China
Abstract:Aiming at the non spherical gravitational perturbation and sunlight pressure during the exploration of small celestial bodies, and combining with its periodic characteristics, an active disturbance rejection control method for small celestial body orbiting is proposed. Firstly, iterative learning control is utilized to suppress the errors of small celestial body spacecraft affected by multi source disturbances. Then the disturbance observer is designed to estimate the total disturbance of the system, and the adaptive law is constructed to estimate the upper bound of the disturbance in real time. Further, the control law is designed to actively compensate the total disturbance. Finally, 243Ida is utilized as the target celestial body to carry out the simulation analysis of orbiting exploration. The results show that the control method can more effectively improve the orbit tracking control accuracy of the small celestial body spacecraft.
Keywords:Small celestial body exploration  Flying around  Orbital tracking  Active disturbance rejection  Iterative learning control  
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