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利用磁强计数据确定卫星姿态的简易滤波算法
引用本文:谢祥华,姜长生,朱秋芳.利用磁强计数据确定卫星姿态的简易滤波算法[J].航天控制,2007,25(1):40-45.
作者姓名:谢祥华  姜长生  朱秋芳
作者单位:南京航空航天大学自动化学院,南京,210016
摘    要:针对一类俯仰轴负向安装有偏置动量轮的重力梯度稳定的三轴主动磁控微小卫星,在分析其数学模型的基础上,将俯仰通道与滚动-偏航通道解耦,分别给出了仅用磁强计测量数据确定各通道姿态的卡尔曼滤波算法。并进一步分析了滤波系统模型的周期性,探讨了实现周期滤波增益的可行性。最后通过仿真算例验证了该滤波算法的有效性以及采用周期滤波增益的可行性。

关 键 词:微小卫星  姿态确定  卡尔曼滤波  周期滤波增益
文章编号:1006-3242(2007)01-0040-06
修稿时间:2006年4月28日

A Simplified Filtering Algorithm for Satellite Attitude Determination with Magnetometer-only
Xie Xianghua,Jiang Changsheng,Zhu Qiufang.A Simplified Filtering Algorithm for Satellite Attitude Determination with Magnetometer-only[J].Aerospace Control,2007,25(1):40-45.
Authors:Xie Xianghua  Jiang Changsheng  Zhu Qiufang
Abstract:A gravity gradient stabilized,three-axis active magnetic control micro-satellite with a pitch momentum wheel fixed on the negative pitch axis is considered in this paper.Based on the analysis of its math model,the pitch channel is decoupled from the roll-yaw channel and the Kalman filtering algorithm for attitude determination only using magnetometer data is proposed for each channel.Further,the periodicity of the filtering system model is analyzed and the feasibility to realize periodic filtering gain is discussed.Finally,the validity of the filtering algorithm and the feasibility of the periodic filtering gain are demonstrated using a simulation example.
Keywords:Micro-satellite  Attitude determination  Kalman filter  Periodic filter gain
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