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邓湘金, 金晟毅, 郑燕红, 彭兢, 姚猛, 史伟. 地外天体采样柔性智能化系统设计与应用[J]. 深空探测学报(中英文), 2022, 9(1): 80-87. DOI: 10.15982/j.issn.2096-9287.2022.20210128
引用本文: 邓湘金, 金晟毅, 郑燕红, 彭兢, 姚猛, 史伟. 地外天体采样柔性智能化系统设计与应用[J]. 深空探测学报(中英文), 2022, 9(1): 80-87. DOI: 10.15982/j.issn.2096-9287.2022.20210128
DENG Xiangjin, JIN Shengyi, ZHENG Yanhong, PENG Jing, YAO Meng, SHI Wei. Design and Application of Flexible Intelligent System for Sampling on the Extraterrestrial Body[J]. Journal of Deep Space Exploration, 2022, 9(1): 80-87. DOI: 10.15982/j.issn.2096-9287.2022.20210128
Citation: DENG Xiangjin, JIN Shengyi, ZHENG Yanhong, PENG Jing, YAO Meng, SHI Wei. Design and Application of Flexible Intelligent System for Sampling on the Extraterrestrial Body[J]. Journal of Deep Space Exploration, 2022, 9(1): 80-87. DOI: 10.15982/j.issn.2096-9287.2022.20210128

地外天体采样柔性智能化系统设计与应用

Design and Application of Flexible Intelligent System for Sampling on the Extraterrestrial Body

  • 摘要: 地外天体的采样是未来深空探测领域的重要发展方向。与近地轨道任务不同,地外天体采样在任务执行期间通常会受通信时延大、能源有限以及非结构任务执行环境等多方面因素制约,一方面地面系统无法实时支持,需要航天器具有较高的自主能力,但另一方面航天器上系统计算资源有限,任务环境有较高的不确知性,导致航天器上全自主设计复杂且可靠性低,在很大程度上仍需要地面系统决策支持,两方面相互矛盾影响并阻碍了任务的顺利实施。针对此,通过分析地外天体采样系统及其对人工智能技术的需求,设计构建了基于人工智能技术的地外天体采样柔性系统,系统支持通过柔性配置航天器和地面系统在任务执行过程中的任务功能模块,从而逐渐实现航天器高自主能力提高任务执行效率。该系统通过“嫦娥五号”采样封装专项试验得到了验证和应用,验证结果显示:在该系统支持下可显著提高采样任务执行效率和可靠性。

     

    Abstract: Sampling of extraterrestrial bodies is an important development direction for future deep space exploration. Different from low Earth orbit missions, sampling of extraterrestrial bodies is usually restricted by many factors, such as long communication delay, limited energy and unstructured mission execution environment. On the one hand, the ground system cannot support such tasks in real time, which requires the spacecraft to have high autonomy. On the other hand, the limited computing resources of the system on the spacecraft and the high uncertainty of the mission environment lead to the complexity and low reliability of the fully autonomous design on the spacecraft, which still needs the decision support from the ground system to a large extent. The two contradictory aspects affect and hinder the smooth implementation of the task. According to this, in this article, through the analysis of celestial sampling system and its demand for artificial intelligence technology, a celestial sampling flexible system was designed and constructed based on artificial intelligence technology, to systematically support task execution task function modules by flexible configuration of the spacecraft and the ground system in the process, so as to gradually achieve high spacecraft autonomous ability to improve the efficiency of task execution. The system has been verified and applied in Chang’e-5 sampling package test, and the verification results show that the efficiency and reliability of sampling tasks can be significantly improved with the support of the system.

     

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