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卫星自主与协同任务调度规划综述

向尚 陈盈果 李国梁 邢立宁

向尚, 陈盈果, 李国梁, 邢立宁. 卫星自主与协同任务调度规划综述. 自动化学报, 2019, 45(2): 252-264. doi: 10.16383/j.aas.c180068
引用本文: 向尚, 陈盈果, 李国梁, 邢立宁. 卫星自主与协同任务调度规划综述. 自动化学报, 2019, 45(2): 252-264. doi: 10.16383/j.aas.c180068
XIANG Shang, CHEN Ying-Guo, LI Guo-Liang, XING Li-Ning. Review on Satellite Autonomous and Collaborative Task Scheduling Planning. ACTA AUTOMATICA SINICA, 2019, 45(2): 252-264. doi: 10.16383/j.aas.c180068
Citation: XIANG Shang, CHEN Ying-Guo, LI Guo-Liang, XING Li-Ning. Review on Satellite Autonomous and Collaborative Task Scheduling Planning. ACTA AUTOMATICA SINICA, 2019, 45(2): 252-264. doi: 10.16383/j.aas.c180068

卫星自主与协同任务调度规划综述

doi: 10.16383/j.aas.c180068
基金项目: 

广东省科技计划 2015B010131015

深圳市科技计划基础研究项目 JCYJ20160530141956915

国家自然科学基金 61472089

国家自然科学基金 U1501254

高等学校全国优秀博士学位论文作者专项资金 2014-92

国家自然科学基金 61525304

国家自然科学基金 71331008

国家自然科学基金 61773120

广东省科技计划 2015B010108006

湖南省自然科学基金杰出青年基金 S2015J5050

国家自然科学基金 71690233

详细信息
    作者简介:

    向尚  国防科技大学系统工程学院博士研究生.2017年获得湘潭大学情报学硕士学位.主要研究方向为系统规划与管理决策技术.E-mail:xiangshang165@163.com

    陈盈果  国防科技大学系统工程学院讲师.2014年获得国防科技大学管理科学与工程博士学位.主要研究方向为卫星任务规划与调度.E-mail:ygchen@nudt.edu.cn

    李国梁  中国电子科学研究院和北京航天航空大学联合博士后.2017年获得国防科技大学管理科学与工程博士学位.主要研究方向为装备体系设计、建模与仿真, 多智能体协同.E-mail:worldchinali@126.com

    通讯作者:

    邢立宁  国防科技大学系统工程学院副教授.2009年获得国防科技大学管理科学与工程博士学位.主要研究方向为系统规划与管理决策技术.本文通信作者.E-mail:xinglining@gmail.com

Review on Satellite Autonomous and Collaborative Task Scheduling Planning

Funds: 

Guangdong Science and Technology Plan 2015B010131015

Shenzhen Basic Research Project for Development of Science and Technology JCYJ20160530141956915

National Natural Science Foundation of China 61472089

National Natural Science Foundation of China U1501254

the Foundation for the Author of National Excellent Doctoral Dissertation of China 2014-92

National Natural Science Foundation of China 61525304

National Natural Science Foundation of China 71331008

National Natural Science Foundation of China 61773120

Guangdong Science and Technology Plan 2015B010108006

the Outstanding Youth Fund Project of Hunan Provincial Natural Science Foundation S2015J5050

National Natural Science Foundation of China 71690233

More Information
    Author Bio:

     Ph. D. candidate at the College of Systems Engineering, National University of Defense Technology. He received his master degree from Xiangtan University in 2017. His research interest covers system planning and management decision making techniques

     Lecturer at the College of Systems Engineering, National University of Defense Technology. He received his Ph. D. degree from National University of Defense Technology in 2014. His research interest covers satellite mission planning and scheduling

     Postdoctor of the China Institute of Electronic Science and Beijing University of Aeronautics and Astronautics. He received his Ph. D. degree from National University of Defense Technology in 2017. His research interest covers equipment system design, modeling and simulation, and multi-intelligence association

    Corresponding author: XING Li-Ning  Associate professor at the College of Systems Engineering, National University of Defense Technology. He received his Ph. D. degree from National University of Defense Technology in 2009. His research interest covers system planning and management decision making techniques. Corresponding author of this paper
  • 摘要: 如何利用有限的星上资源执行复杂繁重的空间任务长期以来备受关注,随着卫星载荷能力不断提升,响应时间要求不断缩短,卫星自主与协同任务调度规划研究的重要性逐渐增大.本文从单星任务调度规划为起点,对单星地面离线任务调度规划、单星星上在线任务调度规划、单星星地一体化自主任务调度规划研究现状进行梳理与分析,然后延展至多星领域,综述了多星地面离线协同任务调度规划、多星星上在线协同任务调度规划、多星星地一体协同任务调度规划研究现状.最后,对卫星自主与协同任务调度规划研究进行了总结与展望.
    1)  本文责任编委 倪茂林
  • 表  1  卫星地面离线任务调度规划算法

    Table  1  Single-satellite offline task scheduling algorithms

    算法类型算法名称 应用场景/算法特性
    精确算法 动态规划[28] 基于合成任务间时序特征, 将问题按照卫星的最大侧摆次数划分为多个阶段, 利用动态规划思想, 得到了问题的最优解.
    分支定价[29] 用期望模型和机会约束规划模型对卫星调度问题进行数学建模, 将分支定界与列生成混合起来求解该问题.
    贪婪算法[30] 在卫星可见时间窗和任务时间窗的约束条件下, 满足最大化资源利用的目标.
    禁忌搜索[31] 针对操作约束下的对地观测卫星任务选取与调度问题, 使用禁忌搜索寻找近似最优方案.
    拉格朗日松弛和线性搜索[32] 将对地观测卫星的日常成像调度问题建模成整数规划问题, 结合拉格朗日松弛法和线性搜索法来求解此问题.
    遗传算法[33] 结合电磁探测卫星的具体约束条件, 建立了观测任务和数据传输的坐标调度模型, 使用遗传算法求解.
    近似算法 粒子群算法[34] 在粒子群算法中使用局部领域拓扑结构来避免过早收敛, 并引入分支定界法来提高局部搜索能力.
    差分进化[35-36] 为实现突变和交叉对进化个体进行实数编码, 用贪婪规则选择每代较优个体, 解码获得资源分配方案与任务执行时间序列.
    蚁群算法[37] 应用均匀设计确定蚁群算法的组件, 设计出了高效求解敏捷卫星调度问题的蚁群算法.
    蜂群算法[38] 采用人工蜂群算法对中继卫星调度问题进行求解, 对比发现蜂群算法优于其他群智能算法.
    模拟退火[3] 设计模拟退火诸多机制:自适应温度控制、基于禁忌表重访限制机制和领域结构的智能组合, 高效地完成了卫星观测调度问题.
    下载: 导出CSV

    表  2  单星地面离线任务调度规划系统

    Table  2  Single-satellite offline task scheduling system

    调度规划系统调度规划策略与方法 系统实际应用场景
    SPIKE调度系统[39] 启发式调度规划方法 NASA的哈勃太空望远镜
    ASPEN系统 局部提前规划, 迭代搜索 NASA的深空一号DS-1和对地观测EO-1
    APSI系统 基于时间线的方法 欧洲太空局ESA
    在时间层管理任务时间网络
    MAPGEN系统 在简单时序约束网络上, 将混合主动式任务规划与约束规划框架相结合 火星探测器项目
    下载: 导出CSV

    表  3  单星星上在线任务调度规划系统

    Table  3  Single-satellite online task scheduling system

    调度规划系统调度规划策略与方法 系统实际应用场景
    RAX-PS系统 启发式调度规划方法 NASA的哈勃太空望远镜
    ASE环境、CASPER系统 连续性规划 NASA对地观测EO-1
    迭代修复 TechSat-2
    采用局部搜索进行计划渐次精细化
    AGATA 在线决策的反应型/慎重型架构 法国灵巧对地观测Pleiades卫星
    反应型部分采用决策规则
    慎重型部分采用迭代随机贪婪搜索算法
    下载: 导出CSV

    表  4  单星地面离线调度与单星在线调度的优势比较

    Table  4  The comparison of the advantages between single-satellite offline task scheduling and onboard task scheduling

    单星地面离线自主调度规划星上在线自主任务调度规划
    可用的CPU计算处理能力强大
    软件更改灵活性强 对环境响应速度快
    测试过程不影响星上任务执行 在无通信延迟的情况下处理图像数据
    与操作员和用户的交互及时快捷 减少星地之间的通信交互次数
    软件开发成本低
    下载: 导出CSV

    表  5  多星地面离线任务调度规划系统

    Table  5  Multi-satellite ground offline task scheduling system

    调度规划系统调度规划策略与方法 系统实际应用场景
    SpaceCAPS系统 分为星座、星群和单个卫星三个层次上的规划 TechSat21计划
    构造算法与迭代修正方法相结合
    PLANET系统 支持任务动态重规划 MUSIS项目
    下载: 导出CSV

    表  6  多星星地一体化协同任务调度规划系统

    Table  6  Multi-satellite and ground integrated task scheduling system

    调度规划系统调度规划策略与方法 系统实际应用场景
    DIPS系统 采用分散的架构 3CSAT星座
    层次任务分解
    层次化的确认/授权机制
    基于优先级的调度算法
    下载: 导出CSV
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  • 收稿日期:  2018-01-29
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