中国科技核心期刊

中文核心期刊

CSCD来源期刊

空间控制技术与应用 ›› 2023, Vol. 49 ›› Issue (2): 58-67.doi: 10.3969/j.issn.1674 1579.2023.02.007

• 短文 • 上一篇    下一篇

面向空间威胁自主规避的航天器资源调度方法

  

  1. 北京控制工程研究所
  • 出版日期:2023-04-26 发布日期:2023-05-16
  • 基金资助:
    国家自然科学基金联合基金资助项目(U21B6001)

Spacecraft Resource Scheduling Method for Autonomous Avoidance of Space Threats

  • Online:2023-04-26 Published:2023-05-16

摘要: 针对航天器遭遇空间非合作目标异常接近的场景,考虑航天器软硬件资源的约束,提出一种面向空间异常接近规避过程的航天器有限资源调度方法,以特定任务下的空间态势信息作为输入,输出动态变化的航天器资源配置. 首先,建立威胁规避场景的动力学模型和航天器有限软硬件资源模型,分析威胁规避过程中的信息流;在此基础上,引入“精英保留”和“劣种淘汰”策略设计基于遗传算法的航天器资源调度方法,以加快遗传算法收敛速率. 仿真结果表明,相比随机调度策略,本文所提方法寻找的调度策略有效提升了资源约束条件下对非合作目标的定轨收敛速率,更快到达预定位置,同时节约了速度增量消耗.

关键词: 威胁规避, 空间异常接近, 资源调度, 遗传算法

Abstract: Considering the constraint of spacecraft hardware and software resources, a scheduling method for spacecraft limited resources in the process of avoiding abnormal space approaching is proposed for the scenario where spacecraft is abnormally approached by non cooperative space targets. Space situation information under a specific mission is used as input and dynamic spacecraft resource allocation is output. Firstly, the dynamic model of threat avoidance scenario and the limited software and hardware resource model of spacecraft are established to analyze the information flow in the threat avoidance process. On this basis, the “elite reserve” and “inferior elimination” strategies are introduced to design the spacecraft resource scheduling method based on genetic algorithm to accelerate the convergence rate of genetic algorithm. The simulation results show that, compared with the random scheduling strategy, the method proposed in this paper effectively improves the orbit determination convergence rate for non cooperative targets under resource constraints, the mission spacecraft reaches the predetermined position faster, and saves the consumption of incremental velocity.

Key words: threat avoidance, spatial anomaly approach, resource scheduling, genetic algorithm

中图分类号: 

  • V448. 2