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典型文献
An optimal guidance method for free-time orbital pursuit-evasion game
文献摘要:
With the development of space rendezvous and proxi-mity operations (RPO) in recent years, the scenarios with non-cooperative spacecraft are attracting the attention of more and more researchers. A method based on the costate normalization technique and deep neural networks is presented to generate the optimal guidance law for free-time orbital pursuit-evasion game. Firstly, the 24-dimensional problem given by differential game theory is transformed into a three-parameter optimization problem through the dimension-reduction method which guaran-tees the uniqueness of solution for the specific scenario. Se-condly, a close-loop interactive mechanism involving feedback is introduced to deep neural networks for generating precise initial solution. Thus the optimal guidance law is obtained efficiently and stably with the application of optimization algorithm initialed by the deep neural networks. Finally, the results of the compari-son with another two methods and Monte Carlo simulation demonstrate the efficiency and robustness of the proposed opti-mal guidance method.
文献关键词:
作者姓名:
ZHANG Chengming;ZHU Yanwei;YANG Leping;ZENG Xin
作者机构:
College of Aerospace Science and Engineering,National University of Defense Technology,Changsha 410000,China
引用格式:
[1]ZHANG Chengming;ZHU Yanwei;YANG Leping;ZENG Xin-.An optimal guidance method for free-time orbital pursuit-evasion game)[J].系统工程与电子技术(英文版),2022(06):1294-1308
A类:
proxi,costate,tees,condly,initialed
B类:
An,optimal,guidance,free,orbital,pursuit,evasion,game,With,development,rendezvous,mity,operations,RPO,recent,years,scenarios,cooperative,spacecraft,are,attracting,attention,more,researchers,normalization,technique,deep,neural,networks,presented,generate,law,Firstly,dimensional,problem,given,by,differential,theory,transformed,into,three,parameter,optimization,through,reduction,which,guaran,uniqueness,solution,specific,Se,close,loop,interactive,mechanism,involving,feedback,introduced,generating,precise,Thus,obtained,efficiently,stably,application,algorithm,Finally,results,compari,son,another,methods,Monte,Carlo,simulation,demonstrate,efficiency,robustness,proposed
AB值:
0.553071
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