中国空间科学技术

中国空间科学技术 ›› 2024, Vol. 44 ›› Issue (2): 145-153.doi: 10.16708/j.cnki.1000-758X.2024.0031

• 论文 • 上一篇    下一篇

海洋一号卫星观测任务规划算法设计及系统应用

陈旺，邵庆龙，周晓，刘金普，兰友国，余伟，胡玉新   

  1. 1 中国科学院空天信息创新研究院，北京100190
    2 齐鲁空天信息研究院，济南250132
    3 国家卫星海洋应用中心，北京100081
  • 出版日期:2024-04-25 发布日期:2024-04-09

Algorithm design and system application of HY-1 satellite observation mission planning

CHEN Wang，SHAO Qinglong，ZHOU Xiao，LIU Jinpu，LAN Youguo，YU Wei，HU Yuxin   

  1. 1 Aerospace Information Research Institute，Chinese Academy of Sciences，Beijing 100190，China
    2 Qilu Aerospace Information Research Institute，Jinan 250132，China
    3 National Satellite Ocean Application Service，Beijing 100081，China
  • Published:2024-04-25 Online:2024-04-09

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摘要： 针对海洋一号卫星观测任务规划需求，提出并实现了基于遗传策略的任务规划框架，解决了卫星实际使用中成像任务受卫星其他业务影响的多类型约束成像规划问题。基于海洋一号卫星实际规划业务要求，对任务规划约束和优化目标建立数学模型，提出了由预处理、窗口约束处理和组合约束处理与优化组成的三阶段规划框架。设计了多约束任务规划优化目标函数，并利用交叉、变异和种群选择等遗传机制对优化问题进行了求解。基于海洋一号卫星实际观测需求数据，对提出的算法进行了有效性和性能验证，结果表明本算法能够给出满足多类型约束的观测规划方案，并在观测时间、观测覆盖率等方面较其他策略有显著提升。研究结果表明通过优化目标函数的设计遗传算法能够实现复杂约束条件的成像规划求解，算法框架可为与海洋卫星具有相似业务特点的对地观测规划系统设计提供借鉴。

关键词: 海洋一号卫星, 对地观测, 多约束优化, 成像任务规划, 遗传算法

Abstract: Aiming at the observation mission planning of HY-1 satellite，a planning algorithm based on genetic strategy was proposed and implemented to solve the planning constraints and resource maximization problems in the context of practical scenario.Based on the practical planning issues of HY-1 satellite，a mathematical model was established for the mission planning constraints and optimization objectives，and the observation task constraints were innovatively divided into window constraints and combination constraints.The optimization objective function of multi-constraint task planning was designed，and the optimization problem was solved by using genetic mechanisms including crossover，mutation and population selection.Based on the practical observation demand data of HY-1 satellite，the validity and performance of the proposed algorithm were verified.The results show that this algorithm can provide observation plans that meet the constraints of satellite planning and that it gets better performance than other strategies in terms of observation time and observation demand coverage.The research results show that the genetic algorithm can realize the more complex multitype observation mission planning constraints，and the research results can provide reference for mission planning of remote sensing satellites with similar business characteristics to HY satellites.

Key words: HY-1 satellite, earth observation, multi-constraint optimization, observation mission planning, genetic algorithm