摘要
自主导航是保障深空探测任务顺利实施的关键技术之一,本文针对火星环绕器在实际工程中对自主导航能力的需求,提出了天文图像测角结合星间无线电测距的组合自主导航方法,实现火星环绕器的高精度自主导航.以我国首次火星探测任务为背景,基于联邦UPF算法,给出了非高斯噪声条件下组合导航仿真分析,搭建了半物理仿真平台,并进行了半物理仿真验证.结果表明,相比传统的天文图像测角导航方法,该组合导航方法精度更高、鲁棒性更好,可为火星环绕器捕获段提供准确的导航信息.本文所提出的组合导航方法有效可靠、工程实现较为简单,为我国火星探测工程任务及后续深空重大任务的实施提供参考.
Autonomous navigation is a key technology for ensuring the successful implementation of a deep space exploration mission.To meet the requirements of the autonomous navigation ability of a Mars orbiter in practical engineering,this paper proposes a combined autonomous navigation method for astronomical image angle measurement and inter-satellite radio range measurement to realize high-precision autonomous navigation of a Mars orbiter.In the setting of China’s first Mars exploration mission,based on the federal UPF algorithm,simulation analysis of integrated navigation under the condition of non-Gaussian noise is provided,a semi-physical simulation platform is built,and semi-physical simulation verification is performed.The results indicate that the integrated navigation method has higher accuracy and better robustness than that of the traditional astronomical image angle measurement navigation method.Thus,the proposed method can provide accurate navigation information for a Mars orbiter surrounding section.The proposed integrated navigation method is effective and reliable,and its engineering implementation is relatively simple,thus providing a basis for the implementation of China’s Mars exploration engineering mission and subsequent major deep space missions.
作者
张伟
张晓
王伟
陈晓
ZHANG Wei;ZHANG Xiao;WANG Wei;CHEN Xiao(Shanghai Institute of Satellite Engineering,Shanghai 201109,China;Shanghai Key Laboratory of Deep Space Exploration Technology,Shanghai 201109,China)
出处
《中国科学:技术科学》
EI
CSCD
北大核心
2020年第9期1175-1184,共10页
Scientia Sinica(Technologica)
基金
科工局十三五民用航天预研(编号:D030102)
上海市科委科研计划(编号:18DZ2272300)资助项目。
关键词
火星探测
组合导航
测角导航
星间无线电测距
自主导航
Mars exploration
integrated navigation
angle measurement navigation
inter-satellite radio range measurement
autonomous navigation