彭海军

个人信息Personal Information

教授

博士生导师

硕士生导师

性别:男

毕业院校:大连理工大学

学位:博士

所在单位:力学与航空航天学院

学科:动力学与控制. 计算力学. 工程力学

电子邮箱:hjpeng@dlut.edu.cn

扫描关注

论文成果

当前位置: 中文主页 >> 科学研究 >> 论文成果

Surrogate-based parameter optimization and optimal control for optimal trajectory of Halo orbit rendezvous

点击次数:

论文类型:期刊论文

发表时间:2013-04-01

发表刊物:AEROSPACE SCIENCE AND TECHNOLOGY

收录刊物:SCIE、EI

卷号:26

期号:1

页面范围:176-184

ISSN号:1270-9638

关键字:Circular restricted three body problem (CRTBP); Halo orbit rendezvous; Nonlinear optimal control; Surrogate-based optimization; Design of experiment

摘要:This work considers the optimization of rendezvous trajectories for spacecraft starting on different z-amplitude Halo orbits. A surrogate-based parameter optimization strategy is proposed for the optimal trajectory of Halo orbit rendezvous in the Sun-Earth system. The optimal rendezvous problem is transformed into an optimal control problem which fixes the initial flight time and the time of flight for the rendezvous trajectory. Further, the initial flight time and the time of flight are taken as design variables for parameter optimization under the objective of minimum fuel consuming. Since the precise optimization model is typically time consuming and computational expensive, the surrogate model is constructed using data drawn from the precise model, and provides fast approximation of the objective at new design points. Therefore, the surrogate model is feasible and employed for Halo orbit rendezvous in this paper. Numerical simulations show that the surrogate-based parameter optimization takes advantages over the global traversal method and the global optimization method (genetic algorithm). At last, the influences of the different relative z-amplitude Halo orbits for optimal trajectory of Halo orbit rendezvous have been studied by employing the surrogate-based parameter optimization strategy in the numerical simulations. (c) 2012 Elsevier Masson SAS. All rights reserved.