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提高卫星服务寿命的任务规划方法研究

姜维 庞秀丽

姜维, 庞秀丽. 提高卫星服务寿命的任务规划方法研究. 自动化学报, 2014, 40(5): 909-920. doi: 10.3724/SP.J.1004.2014.00909
引用本文: 姜维, 庞秀丽. 提高卫星服务寿命的任务规划方法研究. 自动化学报, 2014, 40(5): 909-920. doi: 10.3724/SP.J.1004.2014.00909
JIANG Wei, PANG Xiu-Li. The Task Scheduling Model and Algorithm for Imaging Satellites with Optimizing Satellite Service Life. ACTA AUTOMATICA SINICA, 2014, 40(5): 909-920. doi: 10.3724/SP.J.1004.2014.00909
Citation: JIANG Wei, PANG Xiu-Li. The Task Scheduling Model and Algorithm for Imaging Satellites with Optimizing Satellite Service Life. ACTA AUTOMATICA SINICA, 2014, 40(5): 909-920. doi: 10.3724/SP.J.1004.2014.00909

提高卫星服务寿命的任务规划方法研究

doi: 10.3724/SP.J.1004.2014.00909
基金项目: 

国家自然科学基金(71271066,71202168),总装备部预研基金(9140A20100409HT0103),中央高校基本科研业务费专项资金(HIT.NSRIF.2010083),博士后科研启动基金(LBH-Q11132)资助

详细信息
    作者简介:

    庞秀丽 哈尔滨工业大学博士后,黑龙江大学副教授. 2008 年获得哈尔滨工业大学管理学院博士学位. 主要研究方向为复杂网络,数据挖掘和电子商务.E-mail:jwSeaBreeze@hit.edu.cn

The Task Scheduling Model and Algorithm for Imaging Satellites with Optimizing Satellite Service Life

Funds: 

Supported by National Natural Science Foundation of China (71271066,71202168), Pre-research Project of General Armament Department (9140A20100409HT0103), Chinese Universities Scientific Fund (HIT.NSRIF.2010083), Postdoctoral Scientific Research Foundation (LBH-Q11132)

  • 摘要: 基于组网卫星协同工作规划可提高复杂任务处理的基础上,本文探索降低规划风险,提高卫星服务寿命的卫星任务规划方法.从提高卫星服务寿命角度,建立用于描述资源使用期望的目标规划模型;建立卫星任务规划模型,在任务方案与资源使用中考虑了规划风险要素,并将资源使用目标模型引入到任务规划模型中,以期在规划中同时优化卫星服务寿命要素;基于邻域贪心扩展改善遗传禁忌求解算法,并运用分布并行技术提高工程实用性;利用STK提供基础仿真数据,对模型与算法进行了验证.
  • [1] Jiang Wei, Hao Hui-Cheng, Li Yi-Jun. Review of task scheduling research for the earth observing satellites. Systems Engineering and Electronics, 2013, 35(9): 1878-1885(姜维, 郝会成, 李一军. 对地观测卫星任务规划问题研究述评. 系统工程与电子技术, 2013, 35(9): 1878-1885)
    [2] Lin W C, Liao D Y, Liu C Y. Daily imaging scheduling of an earth observation satellite. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, 2005, 35(2): 213-223
    [3] Burrowbridge S E. Optimal allocation of satellite network resources [Ph.D. dissertation]. Virginia Polytechnic Institute and State University, USA, 2000
    [4] Globus A, Crawford J, Lohn J, Morris R. Scheduling earth observing fleets using evolutionary algorithms: Problem description and approach. In: Proceedings of the 3rd International NASA Workshop on Planning and Scheduling for Space. Houston, TX: NASA, 2002. 1-9
    [5] Li Jun, Guo Yu-Hua, Wang Jun, Jing Ning. Multiple satellite scheduling based on hierarchical and immune genetic algorithm. Acta Aeronautica et Astronautica Sinica, 2010, 31(8): 1636-1645(李军, 郭玉华, 王钧, 景宁. 基于分层控制免疫遗传算法的多卫星联合任务规划方法. 航空学报, 2010, 31(8): 1636-1645)
    [6] Frank J, Jónsson A, Morris R, Smith D E. Planning and scheduling for fleets of earth observing satellites. In: Proceedings of the 6th International Symposium on Artificial Intelligence, Robotics, Automation and Space. Montreal, Canada: 2001. 1-8
    [7] He Ren-Jie, Gao Peng, Bai Bao-Cun, Li Ju-Fang, Yao Feng, Xing Li-Ning. Models, algorithms and applications to the mission planning system of imaging satellites. Systems Engineering——Theory & Practice, 2011, 31(3): 411-422(贺仁杰, 高鹏, 白保存, 李菊芳, 姚锋, 邢立宁. 成像卫星任务规划模型、算法及其应用. 系统工程理论与实践, 2011, 31(3): 411-422)
    [8] Jiang Wei, Pang Xiu-Li, Hao Hui-Cheng. Collaborative scheduling model and algorithm for imaging satellite network. Systems Engineering and Electronics, 2013, 35(10): 2093-2101(姜维, 庞秀丽, 郝会成. 成像卫星协同任务规划模型与算法研究. 系统工程与电子技术, 2013, 35(10): 2093-2101)
    [9] Globus A, Crawford J, Lohn J, Pryor A. A comparison of techniques for scheduling earth observing satellites. In: Proceedings of the 16th Conference on Innovative Applications of Artificial Intelligence. Pasadena, CA: AAAI Press, 2004. 836-843
    [10] Mansour M A A, Dessouky M M. A genetic algorithm approach for solving the daily photograph selection problem of the SPOT5 satellite. Computers & Industrial Engineering, 2010, 58(3): 509-520
    [11] Chen Y, Zhang D Y, Zhou M Q, Zou H. Multi-satellite observation scheduling algorithm based on hybrid genetic particle swarm optimization. Lecture Notes in Electrical Engineering. Berlin Heidelberg: Springer, 2012, 136: 441-448
    [12] Tan Qiang, Fan Yan-Ping. Discussion on requirement, management and organization for long-life technology development of satellite of China. Spacecraft Engineering, 2011, 20(5): 111-115(谭强, 范燕平. 我国卫星长寿命技术发展需求及组织与管理探讨. 航天器工程, 2011, 20(5): 111-115)
    [13] Zhang Yong-Wei. Space weather on the impact of space activities. In: The 2nd Session of the Global Chinese Space/Space Weather Science Conference. Najing: Chinese Geophysical Society, 2009. 6-10(张永维. 空间天气对航天活动的影响. 见: 第二届全球华人空间/太空天气科学大会. 南京: 中国地球物理学会, 2009. 6-10)
    [14] Pang He-Wei, Feng Wei-Quan. Space environmental factors influencing on GEO satellite's life and reliability and their evaluation, verification and guarantee technologies. Spacecraft Environment Engineering, 2006, 23(2): 63-66(庞贺伟, 冯伟泉. 影响GEO卫星长寿命高可靠的空间环境因素及其评估、验证和保障技术研究. 航天器环境工程, 2006, 23(2): 63-66)
    [15] Xing Li-Ning, Chen Ying-Wu. Mission planning of satellite ground station system based on the hybrid ant colony optimization. Acta Automatica Sinica, 2008, 34(4): 414-418(邢立宁, 陈英武. 基于混合蚁群优化的卫星地面站系统任务调度方法. 自动化学报, 2008, 34(4): 414-418)
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出版历程
  • 收稿日期:  2012-12-26
  • 修回日期:  2013-10-09
  • 刊出日期:  2014-05-20

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