| 基于UKF的深空探测光学自主导航方法 |
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| 引用本文： | 周剑敏,张洪华. 基于UKF的深空探测光学自主导航方法[J]. 航天控制, 2007, 25(2): 41-46 |
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| 作者姓名： | 周剑敏 张洪华 |
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| 作者单位： | 北京控制工程研究所,北京,100080;北京控制工程研究所,北京,100080 |
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| 摘 要： | 光学自主导航方法将成为未来深空探测广泛应用的导航方式。在建立探测器的光学自主导航系统的状态方程和量测方程基础上,针对“深空一号”探测器飞行中采用批处理最小二乘滤波方法存在的不足,提出了基于UKF滤波的光学自主导航方法。仿真结果表明:UKF方法不仅导航精度高,而且需要的导航小行星的数目远少于批处理最小二乘方法所需的数目。
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| 关 键 词： | 非线性滤波 最小二乘估计 光学自主导航 |
| 文章编号： | 1006-3242(2007)02-0041-06 |
| 修稿时间： | 2006-07-13 |
Deep Space Exploration Optical Autonomous Navigation Technology Based on the Unscented Kalman Filter |
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| Zhou Jianmin,Zhang Honghua. Deep Space Exploration Optical Autonomous Navigation Technology Based on the Unscented Kalman Filter[J]. Aerospace Control, 2007, 25(2): 41-46 |
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| Authors: | Zhou Jianmin Zhang Honghua |
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| Abstract: | Optical autonomous navigation will be used widely in the deep space exploration in the future.In contrast to the shortage of the batch least square method(BLS)used during the flight of Deep Space 1(DS1),a new method based on the unscented Kalman filter(UKF)for the optical autonomous navigation is presented after establishing the state equations as well as the observation equations.The simulation results show that the UKF has not only obtained better accuracy than that of the BLS,but also less numbers of beacon asteroid used. |
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| Keywords: | Nonlinear filter Least square estimation Optical autonomous navigation |
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