中继卫星系统的多星多天线动态调度方法 |
林鹏1,3, 晏坚2, 费立刚4, 寇保华4, 刘华峰2, 陆建华1,2 |
1. 清华大学 电子工程系, 北京 100084; 2. 清华大学 宇航技术研究中心, 北京 100084; 3. 中国电子设备系统工程研究所, 北京 100141; 4. 北京空间信息中继传输技术研究中心, 北京 100094 |
Multi-satellite and multi-antenna TDRSS dynamic scheduling method |
LIN Peng1,3, YAN Jian2, FEI Ligang4, KOU Baohua4, LIU Huafeng2, LU Jianhua1,2 |
1. Department of Electronic Engineering, Tsinghua University, Beijing 100084, China; 2. Tsinghua Space Center, Tsinghua University, Beijing 100084, China; 3. China Electronic Equipment of System Engineering Institute, Beijing 100141, China; 4. Beijing Space Information Relay Transmission Technology Research Center, Beijing 100094, China |
摘要:
| |||
摘要面向空间网络中任务发生的时间和空间随机性, 建立中继卫星系统服务模型, 并提出了一种动态的空间任务调度方法。基于中继卫星天线资源的差异, 对2种天线资源分别建模, 构建中继卫星系统的多星多天线服务模型。利用空间网络拓扑动态变化的特点, 结合空间任务的多优先级和容忍延时特性, 提出一种基于种群联合进化的资源分配算法。仿真结果表明:与贪婪算法相比, 种群联合进化算法能够多完成18.7%的空间任务, 有效提高了中继卫星系统的任务完成能力。 | |||
关键词 :中继卫星系统,空间任务,资源分配,动态调度 | |||
Abstract:A dynamic scheduling method was developed for tracking and data relay satellite systems (TDRSS) to maximize use of the space network (SN). The algorithm includes a service model for multi-satellite and multi-antenna TDRSS for satellites with constellation formations and two types of servable antennas. A population joint evolution algorithm was developed for the random temporal occurrences and spatial distributions of the tasks based on priority differences and time-delay tolerances. The dynamic topology of the SN is separated into the multi-satellite and multi-antenna service model and the population joint evolution algorithm to provide better service capabilities. Simulations show that the average scheduling failure is 18.7% less than with the greedy algorithm. | |||
Key words:tracking and data relay satellite system (TDRSS)spatial taskresource allocationdynamic scheduling | |||
收稿日期: 2014-12-16 出版日期: 2015-08-04 | |||
| |||
通讯作者:晏坚,副研究员,yanjian_ee@tsinghua.edu.cnE-mail: yanjian_ee@tsinghua.edu.cn |
引用本文: |
林鹏, 晏坚, 费立刚, 寇保华, 刘华峰, 陆建华. 中继卫星系统的多星多天线动态调度方法[J]. 清华大学学报(自然科学版), 2015, 55(5): 491-496,502. LIN Peng, YAN Jian, FEI Ligang, KOU Baohua, LIU Huafeng, LU Jianhua. Multi-satellite and multi-antenna TDRSS dynamic scheduling method. Journal of Tsinghua University(Science and Technology), 2015, 55(5): 491-496,502. |
链接本文: |
http://jst.tsinghuajournals.com/CN/或 http://jst.tsinghuajournals.com/CN/Y2015/V55/I5/491 |
图表:
图1 空间任务动态调度方法流程图 |
图2 中继卫星系统资源分配算法流程图 |
图3 空间任务插入任务链的示意图 |
图4 两个解的交叉示意图 |
图5 种群联合进化算法示意图 |
图6 调度任务权重结果 |
表1 容忍延时仿真的调度任务权重 |
图7 种群联合进化算法相对于贪婪算法的增益 |
图8 空间任务延时分布 |
参考文献:
[1] | NASA. Tracking and data relay satellite (TDRS) [EB/OL]. [2013-11-13]. https://www.spacecomm.nasa.gov/spacecomm/programs/tdrss/default.cfm. |
[2] | NASA. Space communications program elements [EB/OL]. [2013-11-13]. https://www.spacecomm.nasa.gov/spacecomm/programs/default.cfm. |
[3] | Zillig D, McOmber R, Fox N. TDRSS demand access service: Application of advanced technology to enhance user operations [J]. SpaceOps, 1998, 1: 1-11. |
[4] | Gitlin T A, Kearns W, Horne W D. The NASA space network demand access system (DAS) [C]//Proceedings of SpaceOps 2002. Houston, TX, USA: SpaceOps Press, 2002: 1-10. |
[5] | Rojanasoonthon S, Bard J, Reddy S. Algorithms for parallel machine scheduling: A case study of the tracking and date delay satellite system [J]. Journal of the Operational Research Society, 2003, 54 : 806-821. |
[6] | FANG Yanshen, CHEN Yingwu. Constraint programming model of TDRSS single access link scheduling problem [C]//2006 International Conference on Machine Learning and Cybernetics. Dalian, China: IEEE Press, 2006: 948-951. |
[7] | WEI Zheng, XIN Meng, HE Huan. Genetic algorithm for TDRS communication scheduling with resource constraints [C]//2008 International Conference on Computer Science and Software Engineering. Shanghai, China: IEEE Press, 2008: 893-897. |
[8] | LI Yingxian, FANG Qing, TAN Jianbo. Application of relay satellite scheduling based on STK/X [C]//2011 IEEE CIE International Conference on Radar. Chengdu, China: IEEE Press, 2011: 288-291. |
[9] | CHENG Siwei, ZHANG Hui, WANG Chao, et al. Operation planning modeling of tracking and data relay satellite: A sketch [C]//Intelligent Computation Technology and Automation 2009. Changsha, China: IEEE Press, 2009: 144-147. |
[10] | NASA. TDRSS information package [EB/OL]. [2013-03-12]. http://msp.gsfc.nasa.gov/TUBE/techinfo.htm. |
[11] | LIN Peng, KUANG Linling, CHEN Xiang, et al. Adaptive subsequence adjustment with evolutionary asymmetric path-relinking for TDRSS scheduling [J]. Journal of Systems Engineering and Electronics, 2014, 25 (5): 800-810. |
[12] | YAN Jian, ZHANG Yuan, CAO Zhigang. Reverse detection based QoS routing algorithm for LEO satellite constellation networks [J]. J Tsinghua Univ (Sci and Tech), 2011, 16 (4): 358-363. |
相关文章:
|