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    张盛

    • 副教授     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:计算力学. 工程力学
    • 办公地点:大连理工大学(主校区)综合实验1号楼307室
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    Surrogate-based parameter optimization and optimal control for optimal trajectory of Halo orbit rendezvous

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      发布时间:2019-03-09

      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:EI、SCIE

      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.