基于跟瞄和加表PI滤波近程相对导航方法
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摘要
针对由于加速度计存在漂移和目标星加速度未知,基于C-W(Clohessey-Whiltshire)方程递推的近程相对导航无法长时间使用的问题,提出了一种基于跟瞄相对测量信息修正相对位置/相对速度误差和估计加表漂移的方法,并给出了比例积分(PI)滤波近程相对导航算法。最后,进行了工程应用方式分析和仿真验证。相对位置误差估计精度优于50 m。仿真结果表明:该方法既能确保相对位置和相对速度输出的连续性,又可抑制跟瞄观测噪声并消除长时间积分累积误差。基于PI滤波的近程相对导航方法计算简单,易于工程实现,且已通过在轨考核验证。
For the problem that the short-range relative navigation based on Clohessey-Whiltshire(C-W) equation recursion cannot last long time because of unknown acceleration of the target spacecraft and drift of the accelerometer, a method of relative navigation based on relative measurement information of the tracking device is proposed. It can correct relative position error and relative velocity error, and can estimate accelerometer's drift. Firstly, the paper provides the navigation algorithm using PI filter, then analyses the engineering application mode and validates the algorithm by the simulation. The estimation accuracy of relative position is better than 50 m. The results show that constant drift can be estimated correctly, and relative position and velocity of the navigation solution are continuous. The relative navigation method based on the PI algorithm is simple and easy to implement. The relative navigation method has been tested on track.
For the problem that the short-range relative navigation based on Clohessey-Whiltshire(C-W) equation recursion cannot last long time because of unknown acceleration of the target spacecraft and drift of the accelerometer, a method of relative navigation based on relative measurement information of the tracking device is proposed. It can correct relative position error and relative velocity error, and can estimate accelerometer's drift. Firstly, the paper provides the navigation algorithm using PI filter, then analyses the engineering application mode and validates the algorithm by the simulation. The estimation accuracy of relative position is better than 50 m. The results show that constant drift can be estimated correctly, and relative position and velocity of the navigation solution are continuous. The relative navigation method based on the PI algorithm is simple and easy to implement. The relative navigation method has been tested on track.
引文
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[2] 杨东春, 赵春慧, 顾冬晴. 基于激光测距和近程相对导航的非合作目标远程交会相对导航算法研究[J]. 上海航天, 2016, 33(4): 75-80.
[3] HABLANI H B. Autonomous inertial relative navigation with sight-line-stabilized integrated sensors for spacecraft rendezvous[J]. Journal of Guidance, Control, and Dynamics, 2009, 32(1): 172-183.
[4] CLARK F D, SPAHAR P T, BRAZZELL J P, et al. Laser-based relative navigation and guidance for space shuttle proximity operations[C]//Guidance and Control 2003 Conference. San Diego: American Astronautical Society, 2003:171-186.
[5] 赵逸伦, 乔兵, 靳永强, 等. 一种采用双目视觉加惯性测量的航天器组合相对导航方法[J]. 航天控制, 2016, 34(4): 47-52.
[6] CREAMER N G, GILBREATH G C, MEEHAN T J, et al. Multiple quantum well retromodu-lators for spacecraft-to-spacecraft laser interrogation, communication and navigation[C]//15th AIAA/USU Small Satellite Conference. Logan: AIAA, 2001: SSC01-V1-6.
[7] 陈诚, 王小刚, 秦武韬, 等. 基于鲁棒滤波的无人机着陆相对导航方法[J]. 中国惯性技术学报, 2017, 25(3): 415-420.
[8] 岳聪, 薄煜明, 吴盘龙, 等. 基于模糊迭代均方根容积卡尔曼滤波的天基非合作目标跟踪[J]. 中国惯性技术学报, 2017, 25(3): 395-398, 404.