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基于DPSO-SA的低轨预警系统初始任务规划方法

简平 邹鹏 熊伟

简平, 邹鹏, 熊伟等 . 基于DPSO-SA的低轨预警系统初始任务规划方法[J]. 北京航空航天大学学报, 2013, 39(10): 1381-1386.
引用本文: 简平, 邹鹏, 熊伟等 . 基于DPSO-SA的低轨预警系统初始任务规划方法[J]. 北京航空航天大学学报, 2013, 39(10): 1381-1386.
Jian Ping, Zou Peng, Xiong Weiet al. Original task planning method of early warning system of LEO based on DPSO-SA[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(10): 1381-1386. (in Chinese)
Citation: Jian Ping, Zou Peng, Xiong Weiet al. Original task planning method of early warning system of LEO based on DPSO-SA[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(10): 1381-1386. (in Chinese)

基于DPSO-SA的低轨预警系统初始任务规划方法

基金项目: 装备预研资助项目; 湖南省研究生科研创新资助项目(CX2010B025)
详细信息
    作者简介:

    简平(1985-),男,江西新余人,博士生,jianping85730@sina.com.

  • 中图分类号: E816

Original task planning method of early warning system of LEO based on DPSO-SA

  • 摘要: 为提高天基低轨预警系统在导弹跟踪任务中的效率,建立了天基低轨预警系统初始任务规划模型.该模型包含跟踪精度、任务完成率和资源松弛度等优化指标,考虑导弹跟踪中目标信息的不确定性,定义并构建了跟踪原子任务的不确定度和动态优先级.在此基础上,提出采用离散粒子群(DPSO,Discrete Particle Swarm Optimization)-模拟退火(SA,Simulated Annealing)混合优化算法求解初始任务规划模型,提高了算法收敛速度、精度以及全局搜索能力.仿真算例验证了模型的优点以及DPSO-SA混合优化算法的有效性.

     

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出版历程
  • 收稿日期:  2012-12-21
  • 网络出版日期:  2013-10-30

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