基于遗传算法的卫星攻击路径规划方法研究  

Method Research of Satellite Attacking Path Planning Based on Genetic Algorithm

作　　者：邓泓[1] 仲惟超[1] 孙兆伟[1] 吴限德 

机构地区：[1]哈尔滨工业大学卫星技术研究所,哈尔滨150001

出　　处：《宇航学报》2009年第4期1587-1592,共6页Journal of Astronautics

基　　金：长江学者和创新团队发展计划资助项目(PCSIRTNo.IRT0520)

摘　　要：当目标卫星的防御系统为以机动方式拦截来袭卫星的编队小卫星时,为能成功接近目标卫星,攻击卫星必须寻求一条安全路径,以避免在穿越过程中被小卫星拦截。在编队小卫星的相对轨道运动模型基础上,建立路径规划的环境模型,建立综合适应度函数,设计了遗传算子,提出了基于遗传算法的攻击卫星安全穿越路径寻优方法。仿真结果表明,提出的算法寻求的最优路径,较好地满足安全性和路程最短的要求,并且算法收敛性和稳定性好。When the defense system of target satellite is made up of formation flying micro-satellites, the micro-satellites can maneuver to intercept incoming satellites. In order to approach target satellite, attacking satellite must find a security path to avoid interception by micro-satellites. In this paper, environment model for path planning was build on relative orbits model of micro-satellites. An optimizing method for attacking satellite path planning, based on genetic algorithm, was present by establishing comprehensive fitness function and designing genetic operator. Simulation results show that the proposed method can find an optimal path with good stability and convergence and the path can satisfy requirements of security and shortest route well.

关 键 词：空间攻防 编队小卫星 遗传算法 路径规划 

分 类 号：V19[航空宇航科学与技术—人机与环境工程]