›› 2016, Vol. 36 ›› Issue (6): 29-37.doi: 10.16708/j.cnki.1000-758X.2016.0069

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Amissionplanningmethodfordeepspaceexplorerconsideringdynamicuncertainties

WANG  Xiao-Hui1,2, LI  Shuang1,2,*   

  1. 1.SchoolofAstronautics,NanjingUniversityofAeronautics&Astronautics,Nanjing210016,China
    2.NewTechnologyLaboratoryofNanjingUniversityofAeronautics&Astronautics,Nanjing210016,China
  • Received:2016-07-09 Revised:2016-08-05 Online:2016-12-25 Published:2016-11-24

Abstract: Anewmissionplanningalgorithmwasproposedtodealwiththeproblemsoflowidentifiabilityofdynamicuncertaintiesandsinglenessofresponsestrategyintraditionalmissionplanningalgorithmsfordeepspaceexplorer.Firstly,thelevelofdisturbancegeneratedbydynamicuncertaintieswasdividedintofourlevels.Fuzzyneuralnetworkwasusedtoevaluatethelevelofuncertainties,anditcanhelptochoosetheappropriateresponsestrategy.Secondly,alocalmissionrepairplanningmethodbasedonhierarchicaltasknetwork(HTN)wasproposedtoredecomposetheinvalidcomplexmissionscausedbythedisturbanceofuncertaintieswhentheresponsestrategywasrepairplanningstrategy.Finally,computersimulationresultsshowthattheproposedalgorithmcaneffectivelyevaluateandrespondtodeepspacedynamicuncertainfactors,andthereforeimprovethereliabilityandflexibilityofthemissionplanningalgorithm.

Key words: deepspaceexploration, missionplanning, dynamicuncertainties, fuzzyneuralnetwork, hierarchicaltasknetwork