摘要
探讨了一种针对空间引力波探测任务的在轨无拖曳控制技术,基于未来可行的地心轨道探测任务背景进行分析设计,并对搭载两颗检验质量的在轨无拖曳系统进行航天器与质量块间相对运动动力学及耦合特性建模。同时,初步分析了任务中无拖曳系统指标和摄动,并设计了基于频域H_(∞)最优控制理论的系统相对平动控制律。数值仿真结果表明,当双检验质量在轨无拖曳系统各检验质量按激光测距呼吸角排列时,采用无固定追踪点策略且在非敏感轴无悬浮控制输入的情况下,可以实现航天器对基准点的追踪,并满足系统频域性能指标的要求。同时,每颗检验质量的时域偏移量可以控制在微米级别,从而获得任务所需的纯引力基准。
An on-orbit drag-free control technique for spaceborne gravitational wave detection missions was discussed.Based on the analysis and design of a possible future geocentric orbit detection mission,the relative motion dynamics and coupling characteristics between the spacecraft and mass blocks of an on-orbit drag-free system with with two test masses were modeled.At the same time,the performance index and perturbation of the drag-free system in the mission were preliminarily analyzed,and a relative translational control law based on frequency domain H_(∞)optimal control theory was designed.Numerical simulation results show that when the test masses of the two-test-mass on-orbit drag-free system are arranged according to the breathing angle of laser rangefinder,without a fixed tracking point strategy and without suspension control input along the non-sensitive axis,the spacecraft can achieve tracking of the reference point while meeting the frequency domain performance index of the system.At the same time,the time domain displacement of each test mass can be controlled to the micron level,thus obtaining the pure gravitational reference required by the mission.
作者
郝立维
张锦绣
王继河
张谕
孙玥
HAO Liwei;ZHANG Jinxiu;WANG Jihe;ZHANG Yu;SUN Yue(Research Center of Satellite Technology,Harbin Institute of Technology,Harbin 150001,China;School of Aeronautics and Astronautics,Sun YatSen University,Shenzhen 518107,China;TianQin Research Center,Sun YatSen University,Zhuhai 519082,China;Shanghai Key laboratory of Aerospace Intelligent Control Technology,Shanghai 201109,China;Shanghai Institute of Spaceflight Control Technology,Shanghai 201109,China)
出处
《国防科技大学学报》
EI
CAS
CSCD
北大核心
2024年第2期36-48,共13页
Journal of National University of Defense Technology
基金
广东省基础与应用基础研究重大资助项目(2019B030302001)。
