摘要
嫦娥三号是我国航天器首次在地外天体的软着陆和巡视勘探,而软着陆又是所有探测月球活动中最为关键的技术。该文利用飞行器动力学方程和能量守恒定律得出有关燃料和时间的方程。然后将遗传算法应用于着陆轨道的优化设计,通过MATLAB程序实现,给出了飞行状态和控制变量的仿真结果,得到了燃料最优的软着陆轨道。仿真结果表明,遗传算法可搜索到全局最优的着陆轨道。并对所得的制导轨道进行误差估计和敏感性分析。
Chang ＇e No.3 is the soft landing and tour exploration to the extraterrestrial objects for the first time. Soft landing is the most important part of all exploration for the moon. This paper gets equation about fuel and time using vehicle dynamics equation and the law of energy conservation. Then genetic algorithm is applied to the optimization design of landing orbit.Through MATLAB implementation, the simulation results of the flight state and control variables are given. The fuel optimal soft landing orbit is obtained. The simulation results show that genetic algorithm can search the global optimal landing orbit. Finally the error estimation and sensitivity analysis of the orbit are made.
出处
《阜阳师范学院学报（自然科学版）》
2016年第1期11-15,共5页
Journal of Fuyang Normal University(Natural Science)
基金
安徽高校省级自然科学研究项目(2015KJ003)
教育部留学回国人员科研启动基金资助(2012-42)
安徽省质量工程项目(2013zy167
2014zy138
2015jxtd121)
阜阳师范学院质量工程项目(2013ZYSD05
2014JXTD01)资助
关键词
软着陆
遗传算法
嫦娥三号
敏感性
soft landing
genetic algorithm
Chang＇e No.3
sensitivity
