改进遗传算法的在轨组装路径规划  

On-orbit assembly trajectory plan based on improved genetic algorithm

作　　者：孙楚琦 吴限德[1] 谢亚恩 宋婷 孙俊 王志鹏[3] 

机构地区：[1]哈尔滨工程大学航天与建筑工程学院,黑龙江哈尔滨150001 [2]上海市空间智能控制技术重点实验室上海航天控制技术研究所,上海201109 [3]哈尔滨工业大学卫星技术研究所,黑龙江哈尔滨150080

出　　处：《哈尔滨工程大学学报》2017年第7期1167-1172,共6页Journal of Harbin Engineering University

基　　金：国家高技术研究发展计划项目(2013AA122904);国家自然科学基金青年项目(11302127);黑龙江省自然科学基金项目(F2015032);哈尔滨市青年科技创新人才基金项目(2013RFQXJ001);中央高校基本科研基金项目(HEUCFD1406)

摘　　要：大规模航天器以在轨组装的方式进行空间部署时,常采用交会对接与辅助机构结合工作的方式完成组装,因此组装过程必须为装配过程规划安全的接近路径和工作区域,以避免组装过程中的碰撞风险。在组装卫星的相对轨道运动模型基础上,建立了组装过程中的动态环境模型,针对在轨组装的位置、时间精度的同时优化改进了传统遗传算法,设计了基于改进遗传算法的在轨组装路径寻优方法。仿真结果表明,提出的算法寻求的最优路径能够较好地满足在轨组装的有效性、安全性以及高精度的要求,并且算法收敛性和稳定性好。For the space deployment of large-scale spacecraft assembly on orbit, the vehicle is generally operated by rendezvous and docking, as well as auxiliary devices. A secure plan for approaching the trajectory and operation area is necessary to avoid collision risk during assembly. To assemble the relative track motion model of satellite, a dynamic environment model was established in the assembly process. A traditional genetic algorithm was improved by focusing on the on-orbit assembly location and time precision, and an on-orbit assembly path optimization method was designed on the basis of the improved genetic algorithm. The simulation result shows that the optimal path sought by the proposed algorithm can properly meet the effectiveness, safety, and high-precision requirement of onorbit assembly. In addition, the convergence and stability of the algorithm are excellent.

关 键 词：在轨服务 在轨组装 遗传算法 路径规划 卫星 

分 类 号：V448.234[航空宇航科学与技术—飞行器设计]