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

作　　者：Li Yuqing Wang Rixin Xu Minqiang 

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

出　　处：《Chinese Journal of Aeronautics》2014年第3期678-687,共10页中国航空学报（英文版）

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.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：Ant colony algorithm Planning and scheduling RESCHEDULING Spacecraft observing UNCERTAINTY 

分 类 号：V556[航空宇航科学与技术—人机与环境工程] TP18[自动化与计算机技术—控制理论与控制工程]