Chinese Space Science and Technology ›› 2012, Vol. 32 ›› Issue (5): 61-68.doi: 10.3780/j.issn.1000-758X.2012.05.010

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OptimizationofEarthMarsLowThrustTrajectoryBasedonArtificialImmuneAlgorithm

PENG  Kun1, XU  Shi-Jie2, GUO  Lin-Li1, WANG  Ping1   

  1. (1Institute of Manned Space System Engineering,ChinaAcademyofSpaceTechnology,Beijing100094)
    (2SchoolofAstronautics,BeihangUniversity,Beijing100191)
  • Received:2012-02-15 Revised:2012-04-19 Published:2012-10-25 Online:2012-10-25

Abstract: TheEarth-Marslow-thrusttrajectorywasoptimizedbyArtificialImmuneAlgorithm.Firstly,thesystemmodelofEarthMarslowthrusttrajectorywasestablishedandnormalized.Secondly,theoptimizationproblemoflowthrusttrajectorywasconvertedintoa nonlinearprogrammingviaparameterizationandpenaltyfunction.Finally,aGAIA(GuidingArtificialImmuneAlgorithm)was proposed tosolvethisoptimizationproblem.SimulationresultsshowthattheGAIAhasfastconvergencerateandhighoptimization precision.Moreover,GAIAalgorithmavoidsmanyshortcomings,suchasinitialvaluesensitivity,illconditionedgradientandlocal convergence.TheeffectivenessofGAIAforlowthrusttrajectoryoptimizationisvalidated.

Key words: Artificialimmunealgorithm, Parameterization, Lowthrust, Trajectoryoptimization, Transfer trajectory, Interstellarflight