Trajectory optimization of multistage launch vehicle based on an improved differential evolution-pseudo spectral method

被引:0
|
作者
Tang, Yunqing [1 ]
Xiang, Zhuo [1 ]
Du, Xiangyu [1 ]
Wang, Bo [1 ]
Liu, Lei [1 ]
Fan, Huijin [1 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Artificial Intelligence & Automat, Natl Key Lab Sci & Technol Multispectral Informat, Wuhan, Peoples R China
来源
2023 35TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC | 2023年
基金
中国国家自然科学基金;
关键词
Trajectory optimization; Differential evolution algorithm; Pseudo spectral method; Multistage launch vehicle;
D O I
10.1109/CCDC58219.2023.10326476
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper studies the orbital flight phase trajectory optimization of multistage launch vehicle based on an improved differential evolution (DE)-pseudo spectral method(PSM). PSM is a classic method which solves the trajectory optimization problem with a high precision and a fast convergence under the condition of good initial guess. However, the free motion of launch vehicle in the sliding phase usually causes bad initial state which will greatly affect the convergence and accuracy of PSM. To solve the problem, DE algorithm is adopted by employing its high search ability. Firstly, the cost function of the optimization problem is adjusted for the orbital flight phase which make it more suitable for the requirements of orbital elements. The adaptive operator of the mutation process in DE is adjusted to avoid falling into local optimum, and the fitness function is improved with the orbital elements. Then PSM shows the advantages of high accuracy and good convergence with good initial guess searched by DE. By comparing the simulation results, it is verified that the proposed algorithm can improve the accuracy of the launch vehicle in the orbital flight phase.
引用
收藏
页码:2416 / 2421
页数:6
相关论文
共 50 条
  • [11] Trajectory optimization of multistage launch vehicle's Orbital Flight Phase based on reinforcement learning Algorithm
    Tian, Sheng
    Du, Lifu
    Wang, Bo
    Liu, Lei
    Fan, Huijin
    PROCEEDINGS OF THE 36TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC 2024, 2024, : 801 - 806
  • [12] Trajectory Optimization for Launch Vehicle Boost Phase based on Gauss Pseudospectral Method
    Liu Fei
    Chao Tao
    Wang Songyan
    Yang Ming
    PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016, 2016, : 10910 - 10914
  • [13] Launch Vehicle Ascent Trajectory Optimization Based on Modified Gauss Pseudospectral Method
    Zhang Qiuhong
    Li Zhaoying
    Li Huifeng
    26TH CHINESE CONTROL AND DECISION CONFERENCE (2014 CCDC), 2014, : 646 - 651
  • [14] Emergency reentry trajectory planning for reusable launch vehicle based on dynamic gauss pseudo-spectral
    Hu, Wei-Jun
    Zhou, Jun
    Chang, Jing
    Lu, Qing
    Yuhang Xuebao/Journal of Astronautics, 2015, 36 (11): : 1255 - 1261
  • [15] Differential Evolution Based Ascent Phase Trajectory Optimization for a Hypersonic Vehicle
    Giri, Ritwik
    Ghose, D.
    SWARM, EVOLUTIONARY, AND MEMETIC COMPUTING, 2010, 6466 : 11 - +
  • [16] Trajectory development and optimization of an RBCC-based launch vehicle
    Hack, KJ
    Riehl, JP
    ASTRODYNAMICS 1999, PTS 1-3, 2000, 103 : 729 - 748
  • [17] Tactical maneuver trajectory optimization for unmanned combat aerial vehicle using improved differential evolution
    Hanqiao Huang
    Kangsheng Dong
    Tian Yan
    Bo Han
    Soft Computing, 2020, 24 : 5959 - 5970
  • [18] Tactical maneuver trajectory optimization for unmanned combat aerial vehicle using improved differential evolution
    Huang, Hanqiao
    Dong, Kangsheng
    Yan, Tian
    Han, Bo
    SOFT COMPUTING, 2020, 24 (08) : 5959 - 5970
  • [20] Pseudospectral method based trajectory optimization and fairing rejection time analysis of solid launch vehicle
    Ying Xuan
    WeiHua Zhang
    YuLin Zhang
    Science in China Series E: Technological Sciences, 2009, 52 : 3198 - 3206