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 ›› 2024, Vol. 50 ›› Issue (4): 9-16.doi: 10.3969/j.issn.1674 1579.2024.04.002

• 论文与报告 • 上一篇    下一篇

低轨星座传感器资源调度的自主任务规划建模方法

  

  1. 北京控制工程研究所
  • 出版日期:2024-08-26 发布日期:2024-09-29
  • 基金资助:
    国家自然科学基金资助项目(U21B6001)

An Autonomous Mission Planning Modeling Method for LEO Constellation Sensor Resource Scheduling

  • Online:2024-08-26 Published:2024-09-29

摘要: 低轨星座传感器资源的优化调度是复杂多约束下的任务规划问题,为了满足多个运动目标全程跟踪与监视的资源实时优化调度需求,提出一种星上自主快速求解的规划模型.在对自主任务规划问题进行详细建模的基础上,考虑各项约束条件与优化因素,将原问题转化成简易的01线性整数规划模型,并构建多目标跟踪试验场景对所提方法进行了仿真验证.仿真结果表明,基于简易规划模型的资源调度可实现多目标的全程跟踪与监视.

关键词: 低轨星座, 传感器资源调度, 自主任务规划, 线性整数规划模型

Abstract: The sensor resources scheduling of LEO constellation is a mission planning problem with complex and multiple constraints. In order to implement the real time scheduling optimization of multiple maneuvering targets’ full process tracking and monitoring tasks, a mission planning model that is easy to quickly solve onboard is proposed. Based on the detailed modeling of the autonomous mission planning for LEO constellation sensor scheduling, the original problem is transformed into a simple 0 1 linear integer programming model with various constraints and optimization objectives. The proposed method is validated through a multiple targets tracking simulation scenario, with all targets tracked and monitored throughout the entire process.

Key words: LEO constellation, sensor resource scheduling, autonomous mission planning, linear integer programming model

中图分类号: 

  • V448