Chinese Space Science and Technology ›› 2016, Vol. 36 ›› Issue (6): 14-21.doi: 10.16708/j.cnki.1000-758X.2016.0067

Previous Articles     Next Articles

Deploymentstrategyoptimizationofonorbitservicingsystemforrefuelinggeosynchronousorbitsatellites

 MENG  Bo1,*, XU  Sheng2,HUANG  Jian-Bin1,LI  Zhi1,PANG  Yu-Jia1,HAN  Xu1   

  1. 1QianXuesenLaboratoryofSpaceTechnology,Beijing100094,China
    2InstituteofTrackingandTelecommunicationsTechnology,Beijing100094,China
  • Received:2016-06-03 Revised:2016-09-22 Published:2016-12-25 Online:2016-11-24

Abstract: Prolonglifespanofgeosynchronousorbit(GEO)satellitesbyrefuelingsatellitesonorbithaseconomicvalue.Asaresult,itisveryimportanttoassesstheon-orbitservicing(OOS)paradigmandoptimizeitsutilities.TheassessmentofOOSsystemforrefuelinggeosynchronoussatellitesandoptimizationmethodsofitsdeploymentstrategywerestudied.AnewarchitectureofOOSsystemwasproposed,whichincludedafuelstoragestationandNrefuelingspacecraft(1+N).Thefuelstoragestationcarriedagreatdealoffuel,runningonorbitsteadily.TherefuelingspacecraftmaneuveredongeosynchronousorbitandimplementedtherefuelingmissionforGEOsatellites,whenthespacecraftransoutoffuel,itcametothestationandacquiredfuel.Theweightandorbitoffuelstoragestation,thenumber,weightandorbitofrefuelingspacecraftwerethekeyproblemsofdeploymentstrategy.ThemathematicmodelofoptimizationofthedeploymentstrategywhichshortentheresponsetimeofrefuelingGEOsatellitesandlowerthepriceofservicingsystemasmulti-objectiveswasconstructed.Thecalculationprocessoftheoptimizationwasanalyzed.Byanalyzingtheoptimizationresults,theoptimaldeploymentstrategyofservicingsystemcontainingafuelstoragestationand4-6refuelingspacecraftusedforrefuelingGEOsatelliteswasproposed.

Key words: geosynchronoussatellites, onorbitrefueling, storagestation, refuelingspacecraft, deploymentstrategy, optimization