基于遗传算法的卫星攻击轨道优化方法

发布时间：2018-09-01 08:16

【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。
[Abstract]:In space attack and defense and satellite confrontation, when a number of small satellites around the target satellite fly around it in formation, in order to make the intercepting satellite hit the target satellite successfully and avoid the defense zone of the formation small satellite, it is necessary to plan the attack orbit of the intercepting satellite. The classical mathematical programming methods, such as sequential quadratic programming, can find the optimal path, but they are not suitable for solving the orbit planning problem under the complex attack and defense environment model in space countermeasure. The dynamic defense model of the satellite is used as the environment model. The variable length real-number coding method is adopted to establish the comprehensive fitness function according to the requirements of orbital security, rapidity and minimum fuel consumption. The genetic operator and the permutation algorithm are designed. The simulation results show that the orbital optimization method proposed in this paper can find the best one. The attack path is superior and the algorithm converges faster.
【作者单位】：哈尔滨工程大学自动化学院;
【基金】：黑龙江省博士后科研启动金(LBH-Q14054)资助课题
【分类号】：V412.41;TP18

【相似文献】