提出闭环自主避障框架，协调任务与碎片规避冲突。
Mission Planning on Autonomous Avoidance for Spacecraft Confronting Orbital Debris
- 两阶段规划协调常规任务与避障需求，动态处理资源变化。
- 线性规划验证时间与资源约束一致性，提升计划可行性。
- 基于TRPG启发式搜索，实现高效自主避障决策，适合航天任务规划者。
本文研究航天器面对轨道碎片时的自主避障任务规划问题。首先，结合避障需求，提出一个闭环自主避障框架。在建立的任务规划模型下，采用两阶段规划方法，协调常规任务与碎片规避之间的冲突。规划过程中，通过动作顺序选择处理持续时间的时序约束；同时，在动作执行中推理满足瞬时数值变化和连续线性变化的动态资源变量。利用线性规划（LP）求解各状态变量的边界，用于检查持续时间与资源交互约束的一致性。随后，合理设计了时序松弛规划图（TRPG）启发式策略，引导规划向目标推进。最后的仿真结果表明，所提出的任务规划策略能有效实现航天器对轨道碎片的自主规避。
原文摘要 · Abstract (English)
This paper investigates the mission planning problem for spacecraft confronting orbital debris to achieve autonomous avoidance. Firstly, combined with the avoidance requirements, a closed-loop framework of autonomous avoidance for orbital debris is proposed. Under the established model of mission planning, a two-stage planning is proposed to coordinate the conflict between routine tasks and debris avoidance. During the planning for expansion, the temporal constraints for duration actions are handled by the ordering choices. Meanwhile, dynamic resource variables satisfying instantaneous numerical change and continuous linear change are reasoned in the execution of actions. Linear Programming (LP) can solve the bounds of variables in each state, which is used to check the consistency of the interactive constraints on duration and resource. Then, the temporal relaxed planning graph (TRPG) heuristics is rationally developed to guide the plan towards the goal. Finally, the simulation demonstrates that the proposed mission planning strategy can effectively achieve the autonomous debris avoidance of the spacecraft.
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