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2、1nenl5can’tovercomethesystemC/TOraccumulationproblem.a(chǎn)ndcannotⅫ“sl、therequirementofhighprecisionautonomousnavigation.sousingnmltipleinlormationlhsionprovidedbysensorsandoptimalfilteringalgorilhnlbecomcthemaintrendL'rresearchPhisariiclcresearchintegratednavigationalgorithm“A【IV.Inthispaper.w
3、cdesignanAIIVintegratednavigationsystembased1)『1muhiplcinfinmad~¨1fllsI【’【1111thissystem?scAllRS,gpsandDVLasliar,+igationparameleIsinputscnh‘)nIocalculatingandfixingna'dgationsystemInoldelto‘)、c[COlllethecll-O[.tcc[inlIdatitmproblemthispaperdesignsthe”surfacecorrection.underwatersilenthunte
4、r”mLlLIcThestrap&mninertialnavigationsystem/GI’Sintegratednavigation¨stcnlisusedinsurlacccorrectkmmodeInthismodeweuserealtimedataJnllllaI'Sit,n·rIcctspeedandpositioninformationThestrapdowninertialnaxigations)stcm/D\,'lintegratedna、igationsystemisusedinunder,,~atersilenlhunternltKteInddsmode
5、weusethedatafromDVI.a(chǎn)ndnavigationsystemtocalculatenn、igationparanletersInordertokeepsystemsafe.steadyandhigh-precisionweresearchandrealizctwokindsnavigationsystemalgorithmrespectivelywhichareconlbmed『1a、igalionofAUVbasedOilH∞r(nóng)obustexpansionalgoriflunandcombinednaxigationolAUVbasedOlltheexte
6、ndedkalmanfilteringalgorithmoptimizedbyBPneuralnetworkalgorithmAccordingtotheactualoperationweanalysetheiradxanlagesanddisadvantagesrespectivel)EKFistheoptimizingalgoritlunofKalmeaxfilter∞r(nóng)floi
7、-linearen~㈣m。j“WedesignstateequalionandobservationequalionofEKFbstrapdowninertialnavigationsystem
8、andDVLerl-orequationswhichcancalculatethevaliouserrorsIIIBecauseitisdick)thattherealrunning。mthmmenlol’AUVintegratednavigationsystem.theprecisemathematicalmodelof5)stemandthetranscendentcharacteristicul'the5atopawdifficulttogetandcauseIKFIogetdivergenceI