Rescheduling of observing spacecraft using fuzzy neural network and ant colony algorithm

查看全文 作　　者：Li [1]Yuqing;Wang [1]Rixin;Xu [1]Minqiang

机构地区：[1]Deep Space Exploration Research Center,Harbin Institute of Technology

出　　处：《Chinese Journal of Aeronautics》索引2014年第27卷第3期,共10页

基　　金：supported by the National Natural Science Foundation of China (No. 61203151);the National Basic Research Program of China (973 Program) (No. 2012CB720003);the Postdoctoral Science Foundation of China (20100471044);the Fundamental Research Funds for the Central Universities of China (No. HIT.NSRIF.2013038);the Key Laboratory Opening Funding of China (No. HIT.KLOF.2009071) 摘　　要：This paper aims at rescheduling of observing spacecraft imaging plans under uncertainties. Firstly, uncertainties in spacecraft observation scheduling are analyzed. Then, considering the uncertainties with fuzzy features, this paper proposes a fuzzy neural network and a hybrid rescheduling policy to deal with them. It then establishes a mathematical model and manages to solve the rescheduling problem by proposing an ant colony algorithm, which introduces an adaptive control mechanism and takes advantage of the information in an existing schedule. Finally, the above method is applied to solve the rescheduling problem of a certain type of earth-observing satellite.The computation of the example shows that the approach is feasible and effective in dealing with uncertainties in spacecraft observation scheduling. The approach designed here can be useful in solving the problem that the original schedule is contaminated by disturbances. 关键词：地球观测卫星模糊神经网络蚁群算法飞船不确定性调度策略调度问题自适应控制

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Rescheduling of observing spacecraft using fuzzy neural network and ant colony algorithm

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