基于任务效能评价张量进化的航天器任务规划  

Spacecraft Mission Planning Based on Task Effectiveness Evaluation Tensor Evolution

作　　者：姚蔚然 田昊宇 张欧阳 吴立刚[1] YAO Weiran;TIAN Haoyu;ZHANG Ouyang;WU Ligang(School of Astronautics,Harbin Institute of Technology,Harbin 150001,China;National Key Laboratory of Complex System Control and Intelligent Agent Cooperation,Beijing 100074,China)

机构地区：[1]哈尔滨工业大学航天学院,哈尔滨150001 [2]复杂系统控制与智能协同全国重点实验室,北京100074

出　　处：《空间科学与试验学报》2024年第1期86-94,共9页Journal of Space Science and Experiment

基　　金：国家自然科学基金(U23A20346,62106062)。

摘　　要：航天器在空间探索时需要面对各种多任务场景,复杂的任务耦合关系和航天器轨迹约束给任务规划带来困难。本文提出了基于任务效能评价张量进化的航天器任务规划方法,利用张量形式来描述任务规划中任务点间转移轨迹与前序任务集的耦合关系,精确地评价不同任务规划方案下的转移轨迹代价和任务收益,从而有效地提高了任务规划效能,并极大缩减了任务规划的计算量。Spacecrafts need to face various multi-task scenarios in space exploration missions.Complex task coupling relationships and spacecraft trajectory constraints bring difficulty to spacecraft mission planning.This article proposes a spacecraft task planning method based on task performance evaluation tensor evolution.A tensor form is used to describe the coupling relationship between the task point transition trajectories and preceding task set.The proposed method accurately evaluates the transition cost and task reward under different mission planning schemes,improving mission planning efficiency and greatly reducing the computational complexity.

关 键 词：空间探索任务 航天器任务规划 轨迹规划 任务效能评价 迭代优化 

分 类 号：TP242[自动化与计算机技术—检测技术与自动化装置]