登月软着陆轨道优化算法研究  

Research on Trajectory Optimization of Lunar Soft Landing

作　　者：郭景录[1] 付平[2] 

机构地区：[1]西北工业大学航天学院,陕西西安710072 [2]陕西动力机械设计研究所,陕西西安710100

出　　处：《计算机仿真》2009年第12期70-73,共4页Computer Simulation

摘　　要：月球软着陆轨道优化是月球探测中的关键技术之一,研究了基于燃料最优的定常推力月球探测器软着陆轨道优化问题。在优化算法中,首先对软着陆轨道动力学方程做归一化处理,经过将软着陆轨道离散化,应用函数逼近法拟合推力控制角,从而将轨道优化问题转化为参数优化问题,最后设计了蛙跳算法作为搜索优化方法。仿真结果表明设计的轨道较好地满足了所要求的约束条件,同时蛙跳算法具有很高的优化精度,并且应用比较简便,可以应用于登月软着陆的轨道优化设计任务。The optimization of lunar soft - landing trajectory is one of the key techniques of lunar exploration mission. This paper researched the optimal trajectory problem of lunar probe with fixed - thrust based on the minimal fuel principle. In the optimization algorithm, the trajectory dynamic function was normalized firstly. Then through discretizing the trajectory and fitting the thrust control angle by function approach method, the trajectory optimization problem was converted to a parameter optimization problem. Finally, the search method based on shuffled frog leaping algorithm was designed. The simulation result shows that the designed trajectory meets the required restrain perfectly, and the shuffled frog leaping algorithm has the advantages of high optimization precision and simple application, hence it can be applied to the task of designing an optimal trajectory of lunar soft landing.

关 键 词：月球软着陆 混合蛙跳算法 轨道优化 燃耗最优 

分 类 号：V412[航空宇航科学与技术—航空宇航推进理论与工程]