应用改进遗传算法优化天基光学监视平台轨道
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:

航天科技创新基金资助项目(CASC201101)


Applying the improved genetic algorithm to optimize the oribit  for space-based optics surveillance platform
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    针对地球遮挡、 地影、 太阳光干扰、 月光干扰、 空间目标相对观测平台的角速度等约束对空间目标可见性的影响问题,基于已编目空间目标双行轨道根数,研究以太阳同步晨昏圆轨道作为观测平台轨道,采用改进多变异位自适应遗传算法对单星观测平台轨道倾角进行优化设计。仿真结果表明,改进的多变异位自适应遗传算法有效地解决了多变异位自适应遗传算法不能保证收敛到所有种群中最优个体的问题,且随机抽取10%左右的目标样本可以达到与采用所有目标相当的性能,计算效率提高约1个量级。

    Abstract:

    Aiming at the effects of space objects visibility constraints including the Earth masking, the Earth shadow, the sunlight, the Moon light and the relative angle velocity between space object and platform, the sun-synchronous twilight circularity orbit was selected and the improved multi-mutation adaptive genetic algorithm was adopt to solve the single platform orbit inclination angle optimization based on Two-line Elements (TLE) of catalog objects. Simulation results show that the improved multi-mutation adaptive genetic algorithm can effectively solve the optimum individual while the multi-mutation adaptive genetic algorithm may not. In addition, it is found that the calculation capacity can be improved with a magnitude in equivalent performance using about 10% random selected objects.

    参考文献
    相似文献
    引证文献
引用本文

刘翔春,廖瑛,文援兰.应用改进遗传算法优化天基光学监视平台轨道[J].国防科技大学学报,2014,36(3):58-62.
LIU Xiangchun, LIAO Ying, WEN Yuanlan. Applying the improved genetic algorithm to optimize the oribit  for space-based optics surveillance platform[J]. Journal of National University of Defense Technology,2014,36(3):58-62.

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2013-11-06
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2014-07-17
  • 出版日期:
文章二维码