| 基于UKF的无陀螺姿态确定 |
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| 引用本文： | 靳永强,刘向东,侯朝桢.基于UKF的无陀螺姿态确定[J].航天控制,2007,25(4):31-35. |
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| 作者姓名： | 靳永强 刘向东 侯朝桢 |
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| 作者单位： | 北京理工大学自动控制系,北京,100081 |
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| 摘 要： | 针对无陀螺卫星的姿态和角速度估计问题,提出了基于UKF(Unscent-ed Kalman Filtering)的无陀螺的姿态确定算法。采用星敏感器作为姿态敏感器,构造了基于罗德里格参数的UKF滤波器。与EKF相比,UKF不必计算Jacoabian矩阵而且能够至少精确到泰勒展开的二阶。通过EKF和UKF仿真结果的比较,表明UKF比EKF具有更快的收敛速度和更高的精度。
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| 关 键 词： | 无陀螺姿态确定 UKF滤波 罗德里格参数 星敏感器 |
| 文章编号： | 1006-3242(2007)04-0031-05 |
| 修稿时间： | 2006年8月29日 |
UKF-based Gyroless Attitude Determination Using Rodrigues Parameters |
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| Jin Yongqiang,Liu Xiangdong,Hou Chaozhen.UKF-based Gyroless Attitude Determination Using Rodrigues Parameters[J].Aerospace Control,2007,25(4):31-35. |
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| Authors: | Jin Yongqiang Liu Xiangdong Hou Chaozhen |
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| Abstract: | The gyroless attitude determination algorithm based on unscented Kalman filtering(UKF) is presented to solve the attitude and rate estimation problems for gyroless satellite.The star sensor serves as the attitude sensor.Unscented Kalman filter based on the Rodriguez parameters is presented.Compared to the EKF,UKF need not to calculate the Jacoabian matrix,but could achieve at least second-order accuracy.Comparison of simulation results of both UKF and EKF indicates that UKF has faster convergence speed and higher accuracy. |
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| Keywords: | Gyroless attitude determination Unscented Kalman filtering Rodrigues parameters Star sensor |
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