OPTIMIZATION OF CHANG'E-3 LANDING PREPARATIVE ORBIT PERILUNE BASED ON IMPROVED GENETIC ALGORITHM

被引:0
|
作者
Liu, Xianggen [1 ]
Zhong, Huasong [1 ]
Meng, Yi [2 ]
Chang, Sheng [2 ]
机构
[1] Univ Elect Sci & Technol China, Sch Comp Sci & Engn, Chengdu 610054, Peoples R China
[2] Univ Elect Sci & Technol China, Sch Microelect & Solid State Elect, Chengdu 610054, Peoples R China
来源
2014 11TH INTERNATIONAL COMPUTER CONFERENCE ON WAVELET ACTIVE MEDIA TECHNOLOGY AND INFORMATION PROCESSING (ICCWAMTIP) | 2014年
关键词
Improved genetic algorithm; Chang'e-3; reverse reasoning; variable-thrust; discretized track; perilune;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In this paper, improved genetic algorithm (GA) is used to search Chang'e-3 optimal landing preparative orbit perilune. Chang'e-3 lander as an object, the initial and final state of the lander and the kinetic equations in the lunar gravitational field are determined by reversely reasoning from the predetermined landing site in the main reduction stage. The lander motion state is non-linear and continuous, so this method takes advantage of genetic algorithms and discretized track to achieve the optimal location of perilune, with the help of Kepler's third law and the law of inertia. Simulation results show that the improved genetic algorithm has the better performance in convergence speed and can be applied to search for the global optimal location of perilune.
引用
收藏
页码:75 / 78
页数:4
相关论文
共 42 条
  • [1] Research on the optimization of the numerical value based on improved genetic algorithm
    Li Zhen-dong
    Zhang Qi-yi
    MEASUREMENT TECHNOLOGY AND ENGINEERING RESEARCHES IN INDUSTRY, PTS 1-3, 2013, 333-335 : 1256 - 1260
  • [2] Optimization of PID Controller Parameters Based on Improved Genetic Algorithm
    Chen, Ying
    Ma, Yong-jie
    Yun, Wen-xia
    SENSORS, MEASUREMENT AND INTELLIGENT MATERIALS, PTS 1-4, 2013, 303-306 : 1189 - 1192
  • [3] Research on Storage Optimization Problem Based on Improved Genetic Algorithm
    Ge, Mengyuan
    Li, Juntao
    2019 2ND INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING, INDUSTRIAL MATERIALS AND INDUSTRIAL ELECTRONICS (MEIMIE 2019), 2019, : 181 - 186
  • [4] A study on the optimization methods of headway based on improved genetic algorithm
    Hu, JM
    Song, JY
    Zhang, Y
    Yang, Z
    6TH WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL X, PROCEEDINGS: MOBILE/WIRELESS COMPUTING AND COMMUNICATION SYSTEMS II, 2002, : 286 - 290
  • [5] DMD maskless lithography optimization based on an improved genetic algorithm
    Huang, Shengzhou
    Tang, Yuanzhuo
    Ren, Bowen
    Wu, Dongjie
    Pan, Jiani
    Tian, Zhaowei
    Jiang, Chengwei
    Li, Zhi
    Huang, Jinjin
    JAPANESE JOURNAL OF APPLIED PHYSICS, 2024, 63 (04)
  • [6] Optimization of Frequency Testing Stimulus Based on Improved Genetic Algorithm
    Yin Shirong
    2009 INTERNATIONAL CONFERENCE ON INFORMATION MANAGEMENT, INNOVATION MANAGEMENT AND INDUSTRIAL ENGINEERING, VOL 2, PROCEEDINGS, 2009, : 341 - 344
  • [7] Optimization of Fuzzy Logic Rules Based on Improved Genetic Algorithm
    Gao, Ruizhen
    Xu, Zhiqiang
    Zhang, Jingjun
    FRONTIERS OF MANUFACTURING AND DESIGN SCIENCE, PTS 1-4, 2011, 44-47 : 1496 - 1499
  • [8] Optimization of coal procurement and transportation decisions based on improved genetic algorithm
    Liu, Qing
    Peng, Liang
    Liu, Wenzhe
    Zhang, Bo
    INTERNATIONAL CONFERENCE ON SMART ENERGY, ICSNRG 2022, 2023, 2422
  • [9] Research on Shipboard Material Scheduling Optimization Based on Improved Genetic Algorithm
    Li, Jinghua
    Huang, Wenhao
    Yang, Boxin
    Zhou, Qinghua
    INTERNATIONAL CONFERENCE ON MECHANICAL DESIGN AND SIMULATION (MDS 2022), 2022, 12261
  • [10] Reactive Power Optimization of Wind Farm based on Improved Genetic Algorithm
    Zeng, Xiang-jun
    Tao, Jin
    Zhang, Ping
    Pan, Hui
    Wang, Yuan-yuan
    2011 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN ENERGY ENGINEERING (ICAEE), 2012, 14 : 1362 - 1367