摘要
在空间攻防与卫星对抗中,当目标卫星周围有若干小卫星以编队形式对其绕飞时,为使拦截卫星成功击中目标卫星,并且避开编队小卫星的防御区,必须对拦截卫星攻击轨道进行规划。寻找到一条既能满足安全性、快速性,又能节省燃料的最优路径。而利用经典数学规划方法,如序列二次规划方法,虽能寻找到最优路径,但并不适应于解决空间对抗中复杂攻防环境模型下的轨道规划问题。为此本文提出基于遗传算法的拦截卫星攻击轨道寻优方法。建立目标卫星编队小卫星的动态防御模型作为环境模型,采用可变长度实数编码方式,根据攻击轨道安全性、快速性、燃料消耗最少等要求建立综合适应度函数,并对遗传算子及置换运算方法进行设计。通过仿真验证,本文提出的轨道优化方法能够寻求到最优攻击路径,并且算法收敛速度较快。
In the warfare of anti-satellite, when formation micro-satellite is flying around the target satel- lite, in order to avoid the defensive area of micro-satellite, it is needed to find a track security track which needs less fuel. A method to find the best attacking track based on the genetic algorithm is proposed. The dynamic de- fensive model of the target micro-satellite is built as the environment model, using variable length encoding real numbers. Establish the comprehensive fitness function based on security, rapidity and fuel, and design the se- lection operator, crossover operator, mutation operator and replacement calculation method. Numerical simula- tions show that the proposed method can get the best attacking track, and have a faster convergence rate.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2016年第5期1114-1120,共7页
Systems Engineering and Electronics
基金
黑龙江省博士后科研启动金(LBH-Q14054)资助课题
关键词
轨道优化
遗传算法
动态模型
拦截卫星
track optimization
genetic algorithm
dynamic model
attacking satellite
