论文:2017,Vol:35,Issue(2):348-354
引用本文:
罗绪盛, 麻娜, 荆武兴, 盛伟强. 采用有限推力的火星捕获制动策略[J]. 西北工业大学学报
Luo Xusheng, Ma Na, Jing Wuxing, Sheng Weiqiang. Capture and Brake Strategy for Mars Explorer with Finite-Thrust[J]. Northwestern polytechnical university

采用有限推力的火星捕获制动策略
罗绪盛1, 麻娜1, 荆武兴1, 盛伟强2
1. 哈尔滨工业大学 航天工程系, 黑龙江 哈尔滨 150001;
2. 中国商用飞机有限责任公司, 上海 200120
摘要:
针对火星探测的捕获制动问题,建立了描述推力沿速度反方向、推力方向固定和推力匀速转动3种制动策略的有限推力模型。以消耗的燃料质量和入轨近火点的高度误差为双目标,利用多目标粒子群算法优化控制参数,得到多目标问题的Pareto非劣解集和Pareto前沿。仿真校验时采用均匀设计法初始化种群,发现推力沿速度反方向时捕获效率最高;方向固定时近火点高度误差小;推力匀速转动会抬升近火点高度,但推力方向与速度反方向夹角小,燃料消耗较少。推力方向匀速转动的策略可以作为优先选用的策略,当出现故障需紧急制动时可启用推力沿速度反方向策略,控制探测器先被火星捕获。仿真表明双目标优化可比燃料最优的单目标提供更全面的决策信息,有助于确定设计方案。
关键词:    火星探测    有限推力    捕获制动    多目标粒子群优化    均匀设计   
Capture and Brake Strategy for Mars Explorer with Finite-Thrust
Luo Xusheng1, Ma Na1, Jing Wuxing1, Sheng Weiqiang2
1. Department of Aerospace Engineering, Harbin Institute of Technology, Harbin 150001, China;
2. Commercial Aircraft Corporation of China Ltd, Shanghai 200120, China
Abstract:
To solve the capture and brake problem of Mars prober, this paper establishes the model of finite-thrust, involving three different strategies. Multi-objective particle swarm optimization algorithm is used to minimize both fuel consumption and periapsis distance error, and method of uniform design is applied to initialize particle populations. After simulation, Pareto-optimal set and Pareto front are obtained. It's indicated that capture strategy of fixed-direction thrust produced smaller periapsis distance error, whereas capture process where thrust direction is anti-parallel to velocity saves more fuel due to less gravity loss. Periapsis height is increased for strategy with constant rotation rate of thrust, and fuel consumption is moderate because of small angle between thrust direction and reverse direction of velocity vector. The idea of two optimized objectives can provide more comprehensive decision-making information than single objective of fuel consumption.
Key words:    Mars exploration    Capture and brake    Finite-thrust    Multi-objective particle swarm optimization    Uniform design   
收稿日期: 2016-10-17     修回日期:
DOI:
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作者简介: 罗绪盛(1992-),哈尔滨工业大学硕士研究生,主要从事飞行器动力学与控制研究。
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