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ID:36776884
大小:2.49 MB
页数:71页
时间:2019-05-15
《自主光学导航非线性滤波算法研究》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、IIRESEARCHOFAUTONOMOUSOPTICALNAVIGAnONNoNLINEARFILTER附GALGORITHMABSTRACTInthenewcentury,hottopicsindeepspaceexplorationarerising,whicharerepresentedbyexplorationmissionsofbigandsmallcelestialbodies.Thenewhightideoftechnologyresearchandplanexecutionford
2、eepspaceexplorationhavearrived.Thecommunicationdelayinducedbythelargedistanceofdeepspaceexplorationisalongtime.ThecommunicationofspacecraftandtelemeterandcommandstationonthegroundCannotsatisfywiththeneedofdeepspacemissionnow.Sodeepspaceexplorationauton
3、omousnavigationtechnologywillreplaceitandwillbecomearegardedkeytechnologyinthedeepexplorationfields.WiththesupportsofTenthFive·Year863Program(AutonomousNavigationTechnologyofDeepSpacecraft),thisdissertationanalysesthebackgroundanddomesticandforei朗situa
4、tionofdeepspaceexplorationopticalautonomousnavigation.Andthedissertationalsostudiesthenonlinearfilteringalgorithmsapplicationinautonomousopticalnavigationtechnology.Themaincontentsofthisdissertationareasfollows:First,basedontheanalysisofmassivecorrelat
5、ivevaluablereference,thisdissertationintroducesthesignificance、backgroundanddomesticandforeignsituation.Combinedwiththetaskflowofdeepspaceandautonomousopticalnavigation,thisdissertationbrieflyanalysestheprincipleofopticalnavigation.Tothedifferentstageo
6、fdeepspaceexploration,itintroducestherelativeorbitdynamicsequations.Anddifferentautonomousopticalnavigationmethodsareproposedtoo.Atthesametime,observationequationsofdeepspaceexplorationareintroduced.Sothewell-groundedbaseisestablishedforthenextresearch
7、workofautonomousopticalnavigationnonlinearfilteringalgorithm.Second,real—timeperformanceiSconsideredtobeamainfactorindeepspaceexplorationfields.Butlargeamountofdataaremorecomplexandtime—consuming.Atthesametime,on—boardcomputer’Sdataprocessingislimited.
8、Todealwiththeseproblems,cylindricalcoordinatesystemisusedinheliocentriceclipticcoordinatesysteminthisdissertation.AndTSS—EKFalgorithmisappliedinopticalautonomousnavigationtoo.Theyreducethecouplingbetweenthestatevariablesandtheobservatio
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