Design and optimization of a trajectory for Moon departure Near Earth Asteroid exploration

被引:0
作者
CHEN Yang
机构
基金
中国国家自然科学基金;
关键词
trajectory design; full ephemeris model; Near Earth Asteroid exploration; Particle Swarm Optimization;
D O I
暂无
中图分类号
P184.5 [月球表面物理及观测方法];
学科分类号
070401 ;
摘要
The lunar probe often has some remaining fuel on completing the predefined Moon exploration mission and may carry out some additional tasks from the Moon orbit using the fuel.The possibility for the lunar probe to escape from the Moon and the Earth is analyzed.Design and optimization of the trajectory from the Moon orbit to the Near Earth Asteroids (NEAs) using the spacecraft’s residual fuel is studied.At first,the semi-major axis,inclinations and the phase relations with the Earth of all the numbered NEAs are investigated to preliminarily select the possible targets.Based on the Sun-centered two-body problem,the launch window and the asteroid candidates are determined by calculating the minimum delta-v for two-impulse rendezvous mission and one-impulse flyby mission,respectively.For a precise designed trajectory,a full ephemeris dynamical model,which includes gravities of the Sun,the planets and the Moon,is adopted by reading the JPL ephemeris.The departure time,arrival time,burning time duration and thrust angles are set as variables to be designed and optimized.The optimization problem is solved via the Particle Swarm Optimization (PSO) algorithm.Moreover,two feasible NEA flyby missions are presented.
引用
收藏
页码:748 / 755
页数:8
相关论文
共 50 条
  • [31] Multistage rocket preliminary design and trajectory optimization using a multidisciplinary approach
    F. M. P. Morgado
    A. C. Marta
    P. J. S. Gil
    Structural and Multidisciplinary Optimization, 2022, 65
  • [32] Multistage rocket preliminary design and trajectory optimization using a multidisciplinary approach
    Morgado, F. M. P.
    Marta, A. C.
    Gil, P. J. S.
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2022, 65 (07)
  • [33] Low-thrust trajectory design with constrained particle swarm optimization
    Shan, Jinjun
    Ren, Yuan
    AEROSPACE SCIENCE AND TECHNOLOGY, 2014, 36 : 114 - 124
  • [34] Application Study of Trajectory Optimization Method in Trajectory Design of Multi-Constraint Boost-Phase Terminal
    Xu Xibao
    Chang Xiaohua
    Jiang Lujia
    2014 INTERNATIONAL CONFERENCE ON MECHATRONICS AND CONTROL (ICMC), 2014, : 1347 - 1350
  • [35] Design of Vehicle Trajectory Optimization Based on Multiple-Shooting method and Modified Particle Swarm Optimization
    Zhuo, Linren
    Cheng, Zhongtao
    Wang, Yongji
    Liu, Lei
    2018 37TH CHINESE CONTROL CONFERENCE (CCC), 2018, : 4649 - 4654
  • [36] Energy-efficient trajectory design of UAV and resource optimization for data collection
    Guo, Shaoxiong
    Song, Zhiqun
    Li, Yong
    Liu, Lizhe
    Wang, Bin
    Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology, 2024, 56 (09): : 48 - 55
  • [37] Jamming-aware optimization for UAV trajectory design and internet of things devices clustering
    Abdullah Almasoud
    Complex & Intelligent Systems, 2023, 9 : 4571 - 4590
  • [38] A Semi-Analytic Approach for Trajectory Design Optimization Using Linearized Equations of Motion
    Negrete, Aimar
    Vijayakumar, Madusudan
    Abdelkhalik, Ossama
    2023 10TH INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN AIR AND SPACE TECHNOLOGIES, RAST, 2023,
  • [39] Energy-Efficient UAV Backscatter Communication With Joint Trajectory Design and Resource Optimization
    Yang, Gang
    Dai, Rao
    Liang, Ying-Chang
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2021, 20 (02) : 926 - 941