一种高精度星载磁强计系统级标定方法
A high-precision system level calibration method for spaceborne magnetometers
孟立飞 1徐超群 2肖琦 2刘超波 2耿晓磊 2陈德祥 3易忠 2张铁龙4
作者信息
- 1. 哈尔滨工业大学(深圳),深圳 518055
- 2. 北京卫星环境工程研究所,北京 100094
- 3. 北京控制工程研究所,北京 100190
- 4. 哈尔滨工业大学(深圳),深圳 518055;奥地利科学院空间研究所,格拉茨A-8042
- 折叠
摘要
星载三轴磁强计经常被用于卫星在轨的姿态确认与修正,为提高其在轨磁场测量精度,提出了一种高精度的星载磁强计系统级标定方法.首先,引入了光学棱镜基准,完成了参照磁强计磁轴的正交性自校准.随后,利用二乘法完成了三轴零磁环境模拟系统线圈系数校准,再利用参照磁强计完成了三轴零磁环境模拟系统磁轴正交性标定,从而获得高精度的空间磁环境地面模拟系统.最后,利用三轴零磁环境模拟系统与卫星正交性对应关系,完成了星载磁强计的标定.试验结果表明:经过标定后,三轴零磁环境模拟系统非正交度优于0.01°,星载磁强计标定误差优于10 nT,为星载磁强计系统地面标定试验验证提供了新途径.
Abstract
Spaceborne three-axis magnetometers are often used for attitude confirmation and correction of satellites in orbit.In order to improve the accuracy of in-orbit magnetic field measurement,a high-precision system level calibration method for spaceborne magnetometers is proposed.Firstly,an optical prism reference is introduced to achieve the orthogonality self-calibration of the reference magnetometer magnetic axis.Subsequently,the coil coefficient calibration of the three-axis zero magnetic environment simulation system is completed using the multiplication method.The magnetic axis orthogonality calibration of the three-axis zero magnetic environment simulation system is completed using a reference magnetometer,thereby obtaining a high-precision space magnetic environment ground simulation system.Finally,the calibration of the spaceborne magnetometer is completed using the orthogonality correspondence between the three-axis zero magnetic environment simulation system and the satellite.The experimental results show that the non orthogonality of the three-axis zero magnetic environment simulation system is better than 0.01°,and that the calibration error of the spaceborne magnetometer is better than 10 nT.The research provides a new approach for ground calibration and verification of spaceborne magnetometer systems.
关键词
卫星控制/姿态确定/磁强计/自校准装置/棱镜Key words
satellite control/attitude determination/magnetometer/self-calibration device/prism引用本文复制引用
基金项目
国家重点研发计划(2022YFA1604600)
出版年
2024
国家科技期刊平台
NSTL
万方数据