MultipleSpacecraftsOn-orbitServiceTaskAllocationBasedonDPSO

doi:10.3780/j.issn.1000-758X.2012.02.011

Chinese Space Science and Technology ›› 2012, Vol. 32 ›› Issue (2): 68-76.doi: 10.3780/j.issn.1000-758X.2012.02.011

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MultipleSpacecraftsOn-orbitServiceTaskAllocationBasedonDPSO

ZHANG Qi-Xin^1,2, SUN Fu-Chun^2,3, XU Bin^2,3, LIU Hua-Ping^2,3

(1NavalAeronauticalandAstronauticalUniversity,Yantai264001) 
(2TsinghuaUniversity,Beijing100084)
(3StateKeyLaboratoryofIntelligentTechnologyandSystem,Beijing100084)

Received:2011-04-28 Revised:2012-04-25 Published:2012-04-25 Online:2012-04-25

Abstract

Abstract: Inordertosolvemulticonstrainedon-orbitservicetaskallocationforspacecraft,theprogrammingofon-orbitservicetaskallocationforon-orbitsatelliteswasstudied.Basedontheanalysisofthekeyfactorsincludingtargetsatellitevalue,servicespacecraftlossandenergy-timeconsumption,anon-orbitservicingmulti-spacecrafttaskallocationmodelwasformulated.Adiscreteparticleswarmoptimization (DPSO) algorithmwasproposedforon-orbitservicespacecraftcooperativetaskallocationproblems.Anewparticlepositionandnewupdatestrategyfortheparticlespeedweredeveloped.ThesimulationresultsshowthattheproposedDPSOalgorithmadmitsbetterconvergence,optimizationcapability,andcansolvetheon-orbitservicespacecraftcooperativetaskallocationeffectively.

Key words: Discrete particle swarm optimization, Task allocation, On-orbit service, Spacecraft

ZHANG Qi-Xin, SUN Fu-Chun, XU Bin, LIU Hua-Ping. MultipleSpacecraftsOn-orbitServiceTaskAllocationBasedonDPSO[J]. Chinese Space Science and Technology, 2012, 32(2): 68-76.

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MultipleSpacecraftsOn-orbitServiceTaskAllocationBasedonDPSO

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