系统工程与电子技术

• 制导、导航与控制 • 上一篇    下一篇

基于遗传算法的多星协同攻击轨道优化方法

刘源, 李玉玲, 郝勇, 赵琳   

  1. 哈尔滨工程大学自动化学院, 黑龙江 哈尔滨 150001
  • 出版日期:2017-07-25 发布日期:2010-01-03

Multi-satellite cooperative attacking path optimization method based on genetic algorithm

LIU Yuan, LI Yuling, HAO Yong, ZHAO Lin   

  1. College of Automation, Harbin Engineering University, Harbin 150001, China
  • Online:2017-07-25 Published:2010-01-03

摘要:

空间攻防中,对拦截卫星攻击路径的规划是成功击中目标卫星的关键因素之一,多星协同进攻方式与单星进攻方式相比,打击效果更好。基于C-W方程建立了航天器拦截的相对运动方程,采用多颗拦截卫星协同进攻的方式,根据战场态势利用遗传算法制定出拦截卫星最优协同策略,并对算法的运行参数及遗传操作进行优化设计,提高算法的自适应能力。仿真结果表明,该方法在脉冲推力的假设下提出的一种最优拦截方案能够更加灵活地满足拦截任务的需求,通过各拦截卫星之间的协同,能够有效提高整体作战效能。

Abstract:

In space attack defense, the key factor of hitting the target satellite is the interception satellite path planning. Multi-satellite cooperative method is better than single satellite. Based on C-W equation, a relative motion equation of spacecraft is built. Using the multi-satellite cooperative attacking method, the optimal strategy based on battlefield situation is made with the genetic algorithm. The operating parameters and genetic algorithm are optimized to improve the adaptive ability of the algorithm. The simulation result shows that the optimal interception method can meet the requirement of interception mission more flexible in assumption of pulse thrust. The collaboration of interception satellite can improve operational effectiveness.