| 基于陆标图像的火星精确着陆自主导航方法研究 |
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| 作者姓名： | 徐超 王大轶 黄翔宇 |
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| 作者单位： | 北京控制工程研究所, 北京 100190;空间智能控制技术重点实验室, 北京 100190,北京控制工程研究所, 北京 100190;空间智能控制技术重点实验室, 北京 100190,北京控制工程研究所, 北京 100190;空间智能控制技术重点实验室, 北京 100190 |
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| 摘 要： | 针对火星精确着陆自主导航高精度的要求,提出一种仅利用火星地表陆标图像信息的自主导航方法。该方法考虑了图像拍摄到图像测量信息可用之间的时间延迟,将成像时刻探测器位置和姿态作为系统状态,利用其与探测器当前状态之间的相关性,并通过迭代扩展卡尔曼滤波算法实现对探测器当前位置、速度和姿态的估计。在该导航方法下,重点研究了导航陆标位置误差对导航精度的影响。最后,通过数学仿真验证了所给出的自主导航方法,并分析了导航陆标位置误差对导航精度的影响。
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| 关 键 词： | 陆标图像 精确着陆 自主导航 迭代扩展卡尔曼滤波 |
| 收稿时间： | 2015/10/12 0:00:00 |
| 修稿时间： | 2016/1/10 0:00:00 |
Autonomous Navigation for Mars Pin-Point Landing Based on Landmark Image |
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| Authors: | XU Chao WANG Dayi and HUANG Xiangyu |
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| Institution: | Beijing Institute of Control Engineering, Beijing 100190, China;Science and Technology on Space Intelligent Control Laboratory, Beijing 100190, China,Beijing Institute of Control Engineering, Beijing 100190, China;Science and Technology on Space Intelligent Control Laboratory, Beijing 100190, China and Beijing Institute of Control Engineering, Beijing 100190, China;Science and Technology on Space Intelligent Control Laboratory, Beijing 100190, China |
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| Abstract: | Aiming at the autonomous and the precise navigation of Mars pin-point landing, an autonomous navigation method based on only landmark image is presented in this paper. In order to deal with image-processing time delay, the position and the attitude of detector at the imaging time are used as system state. The current system state can be updated by these landmark measurements through iterated extended Kalman filter. Using the method, the effects of landmark position error on navigation precision are analyzed. Finally, the validity of the proposed navigation method is confirmed by numerical simulations. |
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| Keywords: | landmark image pin-point landing autonomous navigation iterated extended Kalman filter |
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