期望状态序列导向的深空探测器规划修复方法

Translated title of the contribution: Plan Repair Method of Deep Space Probe Based on the Expected State Sequence

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

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.

Translated title of the contributionPlan Repair Method of Deep Space Probe Based on the Expected State Sequence
Original languageChinese (Traditional)
Pages (from-to)1385-1395
Number of pages11
JournalYuhang Xuebao/Journal of Astronautics
Volume42
Issue number11
DOIs
Publication statusPublished - 30 Nov 2021

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