LEO cooperative multi-spacecraft refueling mission optimization considering J₂ perturbation and target’s surplus propellant constraint

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• 作者：Zhao Zhao^a ; Jin Zhang^a ; ^{zhangjin@nudt.edu.cn} ; ^{zhangjinxy1983@gmail.com} ; Hai-yang Li^a ; Jian-yong Zhou^b
• 关键词：Cooperative refueling ; Rendezvous ; J2 perturbation ; Hybrid optimization ; Hybrid-encoding genetic algorithm ; MINLP
• 刊名：Advances in Space Research
• 出版年：2017
• 出版时间：1 January 2017
• 年：2017
• 卷：59
• 期：1
• 页码：252-262
• 全文大小：1288 K
• 卷排序：59

文摘

The optimization of an LEO cooperative multi-spacecraft refueling mission considering the J2 perturbation and target’s surplus propellant constraint is studied in the paper. First, a mission scenario is introduced. One service spacecraft and several target spacecraft run on an LEO near-circular orbit, the service spacecraft rendezvouses with some service positions one by one, and target spacecraft transfer to corresponding service positions respectively. Each target spacecraft returns to its original position after obtaining required propellant and the service spacecraft returns to its original position after refueling all target spacecraft. Next, an optimization model of this mission is built. The service sequence, orbital transfer time, and service position are used as deign variables, whereas the propellant cost is used as the design objective. The J2 perturbation, time constraint and the target spacecraft’s surplus propellant capability constraint are taken into account. Then, a hybrid two-level optimization approach is presented to solve the formulated mixed integer nonlinear programming (MINLP) problem. A hybrid-encoding genetic algorithm is adopted to seek the near optimal solution in the up-level optimization, while a linear relative dynamic equation considering the J2 perturbation is used to obtain the impulses of orbital transfer in the low-level optimization. Finally, the effectiveness of the proposed model and method is validated by numerical examples.