期望状态序列导向的深空探测器规划修复方法

Chao Chen, Rui Xu*, Zhao Yu Li, Sheng Ying Zhu, Zi Xuan Liang

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

1 引用 (Scopus)

摘要

Aiming at the challenges caused by the persistence, concurrency and energy consumption of probe actions, a plan repair method of deep space probe based on the expected state sequence is proposed. In this method, the expected state sequence is formed of the expected effect of the unfinished action and the expected precondition of the unexecuted action in the pre-designed plan, according to the execution status of the action. The expected state sequence is an ordered set of states with mixed logic and energy, providing subgoals for plan repair and also transforming the plan repair problem into the state transition path searching problem. During the search, the plan repair strategy with energy supply priority is proposed, which separates the logic repair from energy repair to reduce the difficulty of solving the problem. And this method enables the probe to recover from plan failure autonomously. Finally, the effectiveness and rationality of the proposed method are verified through simulation by taking the Mars Orbiter as an example.

投稿的翻译标题Plan Repair Method of Deep Space Probe Based on the Expected State Sequence
源语言繁体中文
页(从-至)1385-1395
页数11
期刊Yuhang Xuebao/Journal of Astronautics
42
11
DOI
出版状态已出版 - 30 11月 2021

关键词

  • Deep space probe
  • Expected state sequence
  • Plan execution failure
  • Plan repair

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