Mission Planning on Autonomous Avoidance for Spacecraft Confronting Orbital Debris

IF 5.7 2区 计算机科学 Q1 ENGINEERING, AEROSPACE IEEE Transactions on Aerospace and Electronic Systems Pub Date : 2024-11-11 DOI:10.1109/TAES.2024.3496415
Xingwen Chen;Tong Wang;Jianbin Qiu;Jianbo Feng
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Abstract

This article investigates the mission planning problem for spacecraft confronting orbital debris to achieve autonomous avoidance. First, 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 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 heuristics is rationally developed to guide the plan toward 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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航天器自主避开轨道碎片的任务规划
研究了航天器在面对轨道碎片时的任务规划问题,以实现自主回避。首先,结合轨道碎片的回避要求,提出了轨道碎片自主回避的闭环框架。在建立的任务规划模型的基础上,提出了两阶段规划,以协调日常任务与碎片回避之间的冲突。在规划扩展期间,持续时间操作的时间约束由排序选择处理。同时,对动作执行过程中满足瞬时数值变化和连续线性变化的动态资源变量进行了推理。线性规划可以求解各状态下变量的边界,用于检验交互约束在时间和资源上的一致性。然后,合理开发时间松弛规划图启发式算法,引导规划向目标方向发展。仿真结果表明,所提出的任务规划策略能够有效地实现航天器的自主碎片避扰。
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来源期刊
CiteScore
7.80
自引率
13.60%
发文量
433
审稿时长
8.7 months
期刊介绍: IEEE Transactions on Aerospace and Electronic Systems focuses on the organization, design, development, integration, and operation of complex systems for space, air, ocean, or ground environment. These systems include, but are not limited to, navigation, avionics, spacecraft, aerospace power, radar, sonar, telemetry, defense, transportation, automated testing, and command and control.
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