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小视场星敏感器量测延时滤波算法

钱华明 王迪 吴永慧 黄智开

钱华明, 王迪, 吴永慧, 等 . 小视场星敏感器量测延时滤波算法[J]. 北京航空航天大学学报, 2019, 45(2): 234-242. doi: 10.13700/j.bh.1001-5965.2018.0279
引用本文: 钱华明, 王迪, 吴永慧, 等 . 小视场星敏感器量测延时滤波算法[J]. 北京航空航天大学学报, 2019, 45(2): 234-242. doi: 10.13700/j.bh.1001-5965.2018.0279
QIAN Huaming, WANG Di, WU Yonghui, et al. Filtering algorithm of NFOV star sensor measurement delay[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(2): 234-242. doi: 10.13700/j.bh.1001-5965.2018.0279(in Chinese)
Citation: QIAN Huaming, WANG Di, WU Yonghui, et al. Filtering algorithm of NFOV star sensor measurement delay[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(2): 234-242. doi: 10.13700/j.bh.1001-5965.2018.0279(in Chinese)

小视场星敏感器量测延时滤波算法

doi: 10.13700/j.bh.1001-5965.2018.0279
基金项目: 

国家自然科学基金 61573113

详细信息
    作者简介:

    钱华明 男, 博士, 教授, 博士生导师。主要研究方向:组合导航、星敏感器、信息处理、传感器技术与智能系统技术

    王迪 女, 硕士研究生。主要研究方向:飞行器姿态算法

    吴永慧 女, 博士研究生。主要研究方向:姿态估计、信息融合

    黄智开 男, 博士研究生。主要研究方向:数字信号处理

    通讯作者:

    钱华明, E-mail: qianhuam@sina.com

  • 中图分类号: U666.12

Filtering algorithm of NFOV star sensor measurement delay

Funds: 

National Natural Science Foundation of China 61573113

More Information
  • 摘要:

    针对小视场(NFOV)星敏感器用于姿态估计时存在的量测延时情况,提出了一种用于解决量测延时的鲁棒扩展卡尔曼滤波(REKF)算法。根据最小方差准则的思想求解各方差的最小上界,通过最小上界确定滤波增益,设计的REKF算法可以有效解决量测延时问题,提高了姿态估计的精度。对REKF算法进行了仿真验证,结果表明:该算法优于常规加性扩展卡尔曼滤波(AEKF)算法、鲁棒有界时域滤波(RFHF)算法及鲁棒卡尔曼滤波(RKF)算法,能较好解决非线性系统存在的量测延时问题,验证了该算法的有效性。

     

  • 图 1  情况1时姿态角均方根误差对比

    Figure 1.  Comparison of root mean square error of attitude angle in Case 1

    图 2  情况1时姿态角误差对比

    Figure 2.  Comparison of attitude angle error in Case 1

    图 3  情况2时姿态角均方根误差对比

    Figure 3.  Comparison of RMSE of attitude angle in Case 2

    图 4  情况2时姿态角误差对比

    Figure 4.  Comparison of attitude angle error in case 2

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出版历程
  • 收稿日期:  2018-05-17
  • 录用日期:  2018-08-24
  • 网络出版日期:  2019-02-20

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