摘要
在给定燃料下,探测器被月球引力捕获并精准进入绕月轨道是月球探测任务中需要考虑的重要问题之一。针对固定推力制动策略,以最终绕月轨道偏心率以及最终绕月轨道近心点高度为约束,以燃料消耗为性能指标,使用粒子群算法进行月球捕获过程的轨道优化,仿真整个捕获制动过程。结果表明,在粒子群优化算法框架下,使用固定推力方向制动策略进行捕获制动,得到的捕获轨道能够很好的满足所有终端状态约束,并且能够优化燃耗。此外,采用的固定推力方向制动策略易于实现,对控制系统要求较低。将粒子群优化算法应用到固定推力方向捕获制动策略中,可避免复杂的方程分析,整个系统简单有效,具有一定的工程实用性,可为我国月球探测轨道设计提供参考。
The lunar capture trajectory is one of the cores of the orbital design given limited fuel.Based on the fixed thrust direction braking strategy,with the ultimate lunar orbit eccentricity and the final near center point as the constraints,and the fuel consumption as the performance index,the PSO(particle swarm optimization)algorithm was used to optimize the track during capture process,and the entire capture braking process was simulated.The results showed that with the PSO algorithm and the fixed thrust direction braking strategy,the obtained capture orbit could satisfy all the constraints and optimize the fuel consumption.In addition,the fixed thrust direction braking strategy was conducive to engineering implementation and imposed low requirements on the control system.Applying the particle swarm optimization algorithm to the fixed thrust direction capture braking strategy could avoid complicated equation analysis and the entire system was simple and effective,which may serve as a reference for China's lunar exploration orbit design.
作者
郭继峰
白成超
贺国平
GUO Jifeng;BAI Chengchao;HE Guoping(Department of Aerospace Engineering,Harbin Institute of Technology,Harbin 150001,China)
出处
《载人航天》
CSCD
北大核心
2018年第3期346-351,共6页
Manned Spaceflight
基金
载人航天预先研究项目(060101)
关键词
月球捕获制动
粒子群优化
燃料最优
固定推力方向制动策略
Lunar capture braking
particle swarm optimization
fuel consumption optimization
fixed thrust direction braking strategy
