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    基于多 Agent 的遥感星座自主协同任务规划

    Autonomous Cooperative Mission Planning for Remote Sensing Constellation Based on Multi-agent

    • 摘要: 随着星载计算能力的提升和遥感星座应急速度需求的提高, 遥感卫星星座自主且快速地生成观测计划成为一个关键问题. 为提高星座自主任务规划的协同性和高效性, 提出了一种自适应的分布式协同规划方法. 基于多 agent 方法, 设计了星上自主管理与星间任务协同机制和一种基于时间窗适应度的启发式任务规划算法. 并基于 S698PM 嵌入式原理样机进行了仿真实验, 在观测收益方面与集中式规划模式的求解 Gap 约为 0.25 %, 在规划耗时、负载均衡及大规模问题适应性方面明显优于其他规划模式.

       

      Abstract: With the improvement of space-borne computing capacity and emergency speed requirement of remote sensing constellation, it has become a key problem to generate observation plan autonomously and quickly for remote sensing satellite constellation. In order to improve the synergy and efficiency of autonomous mission planning in constellation, an adaptive distributed collaborative planning method is proposed. Based on the multi-agent method, the on-board autonomous management and inter-satellite mission cooperation mechanism and a heuristic task planning algorithm based on time window fitness are designed. Based on the S698PM embedded principle prototype, the simulation experiment shows that the Gap between the centralized planning model and the observation income is about 0.25 %, which is obviously better than other planning models in the aspects of planning time, load balancing and adaptability to large-scale problems.

       

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