指南针文言文word范文 20页.docx
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指南针文言文word范文 20页.docx
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指南针文言文word范文20页
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指南针文言文
篇一:
电子指南针中英文翻译
Title:
CALIBRATINGMETHODFORELECTRONICCOMPASSElectroniccompassisanelectroniccompassbymeasuringtheEarth'smagneticfieldtoachievedirectionalnavigationdevice,itisanimportantnavigationaltoolthatcanprovidereal-timedataobjectsheadingandattitude,andhasasmallsize,lowcost,fastresponse,noaccumulatederror,etc.,arewidelyusedinmobilerobots,vehicles,aircraftandotherorientationsubsystem;However,duetotheelectroniccompassisbasedonmagneticprinciplescalculationsmagneticbearings,theirworkenvironment,inadditiontootherexternalmagneticfieldEarth'smagneticfieldwillinevitablyaffecttheoutputoftheelectroniccompass,resultinginerrorsaffectmeasurementaccuracy.Therefore,howtoreduceoutsideinterferenceprecisionofitsoutputisengineeringapplicationsmustbeaddressed.
Electroniccompasstheexistingliteraturehasproposedseveralpossiblecompasserrorcompensationmethod.YuenCheeWingpaper,"three-axismagneticheadingsensorsfullattitudeerrorcompensation'proposedcompasserrorintoquadratureerror,zeroandsensitivityerrorswerecompensated,highcompensationaccuracyofthemethod,butinthecompensationprocessrequiresnon-magneticturntable,butalsothecomputerautomaticallywhenthemeasuredrotationcompassXandY-axissensoroutputmaximum,minimum,thecalibrationprocessiscomplexandrequireshighequipment;HIGHWAYANDTRANSPORTATIONWangJiaxinpaper"Developmentofhigh-precisionelectroniccompass"andShaoTingting,ROCKETSpaper"electroniccompasstiltandLuoslipcompensationalgorithmresearch,"theleastsquaremethodtocompensatefortheelectroniccompass,themethodrequiresCompass0°~360°rotationaveragesampling,operationisrelativelycumbersomeandTheamountofdatasamplesofdifferentsizeswillhaveagreaterimpactfittingresult,theamountofdataistoosmall,thecompensationeffectisnotgood,toomuchdatacancauseperformancedegradationfitting;YangxinYong,HuangShengguopaper"magneticheadingmeasurementsystemErrorCorrectionMethod"andQiZhang,Liang-shuiLei,JiangFan,SongLiu'spaper"Autocalibrationofamagneticcompasswithoutheadingreference"errorellipsehypothesisisproposedbasedonthemodelcompensationmethod,becauseonlyahypotheticalmodelellipsebasedontheexperimentalexperiencesuggestedthatthelackoftheoreticaldeduction,thecompensationeffectisnotverysatisfactory;ChaoMin,JiangOriental,Wenrainbowpaper,"magneticcompasserroranalysisandcalibration"usingananalyticalmethodtoestablishthedirectionofthemagneticmeasurementsystemismoreaccurate
models,andelectroniccompasscompensationinthehorizontalconditions,butthecompensationprocesstoidentifymoreparameters(up9),andtheresultsshowthecompensationeffectissimilartoovalhypotheticalmodel;HaoZhenhai,HuangShengguopaper,"basedonacombinationofdifferentialmagneticcompassheadingsystem."proposeda"differentialmagneticcompass"(DMC,DifferentialMagneticCompasses)designprogram,whichusestwoidenticalmagneticcompasstodeterminewhetherthesystemisacombinationoflow-frequencyinterferenceoccurs,ifthesystemglitchesdidnothappen,thentheuseofmagneticcompassnavigation,low-frequencyinterferencewilloccurifthesystemswitchestothegyroscopesystemnavigation.Theprogramdoesnotsubstantiallyimprovethemagneticcompassmeasurementaccuracy,andthenavigationprogramconsistsofapluralityofmagneticcompassandgyroscopestructure,willleadtogreatlyincreasethecost;LuWang,ZhaoZhongandotherpaper"MagneticCompassErrorAnalysisandCompensation"usingBPneuralnetworkerrormodel,anduseLMlearningalgorithmtotrainthenetwork,themethodneednot0°~360°withintheaveragesampling,withaneuralnetworkcanbeapproximatedfunctionwitharbitraryprecisioncharacteristics,withhighcompensationaccuracy,buttheBPneuralnetworkconvergenceisslow,therighttosetinitialvaluesneedtobeverycareful,andeasytofallintolocalminimum.
Insummary,thecurrentelectroniccompasscalibrationmethodsarethemainmethodofleastsquares,ovalassumptionFrance,BPneuralnetworkmethod,etc.Thesemethodsaremorecumbersomecalibrationprocedureortheexistenceofthenecessaryinstrumentsfordemandingcalibrationorcalibrationissuessuchaslackofprecision.
ItisanelectroniccompassbymeasuringtheEarth'smagneticfieldtoachievedirectionalnavigationdevice,itisanimportantnavigationaltoolthatcanprovidereal-timedataobjectsheadingandattitude,andhasasmallsize,lowcost,fastresponse,noaccumulatederror,etc.,arewidelyusedinmobilerobots,vehicles,aircraftandotherorientationsubsystem;However,duetotheelectroniccompassisbasedonmagneticprinciplescalculationsmagneticbearings,theirworkenvironment,inadditiontootherexternalmagneticfieldEarth'smagneticfieldwillinevitablyaffecttheoutputoftheelectroniccompass,resultinginerrorsaffectmeasurementaccuracy.Therefore,howtoreduceoutsideinterferenceprecisionofitsoutputisengineeringapplicationsmustbeaddressed.
Inordertosimplifythecalibrationprocedure,reducingtherequirementsforthenecessary
equipmentandtoimprovecalibrationaccuracy,thepresentinventiondesignedanelectroniccompasscalibrationmethod,thecalibrationmethodbasedonadaptivedifferentialevolutionmethodandFourierneuralnetwork(AdaptiveDifferentialEvolutionandFourierNeuralNetwork,ADE-FNN),bymeansofFourierneuralnetworkmodelingoftheelectroniccompasserror,theneuralnetworkusingorthogonalFourierseriesexcitationfunctionasanetwork,andusesadaptivedifferentialevolutionalgorithmtotrainthenetworkweights,getmorepreciseTheerrormodeltocompensateforthemeasuredvaluesofthecompass,soastoimprovetheprecisionofthecompass.
DifferentialevolutionmethodbasedonadaptiveneuralnetworksandFourierelectroniccompasscalibrationmethods,includingaccesstotrainingsamples,theuseofFourierneuralnetwork(FNN)builderrorcompensationmodelandtheuseofadaptivedifferentialevolutionalgorithm(ADE)totraintheneuralnetworkweightvalueofthreeparts,toachievethespecificstepsareasfollows:
Stepone,gettrainingsamples;
Steptwo,identifiedneuralnetworkstructure;
Stepthree,tocreateanelectroniccompasserrormodelandchoosethetrainingtargets;
Stepfour:
Accordingtothetrainingsampleusinganimprovedadaptivedifferentialevolutionalgorithmfortrainingtheneuralnetwork;
StepFive,willoptimizetheneuralnetworkweightsobtainedvaluesintotheneuralnetworktoobtain
amoreaccuratecompensationmodels;
StepSix,theelectroniccompassoutputmeasurementvaluesintocompensateforneuralnetworkinputandoutputcompensationvalue.
Theinventiontookintoaccounttheimpactofmeasurementprecisionelectroniccompass,proposesadifferentialevolutionmethodbasedonadaptiveneuralnetworksandFourierconcentrationcalibrationmethodtocompensate,ontheonehandtosimplifythecalibrationprocess,thatisjusttheturntablerotate(nouniformrotation)electroniccompassoneweekfortrainingsamplesandthecorrespondingtruevalue;handwithbetterresults,ie,morepreciselyoffsetoutsideinterference,improvemeasurementaccuracy.
Thecompensationmethodwithneuralnetworkstructureissimple,easytoimplement,andcanapproximatenonlinearfunctionswitharbitraryprecision,andhasgoodgeneralization
capabilityadvantages.
OrthogonalFourierfunctionastheexcitationfunctionneuralnetwork,thenonlinearoptimizationproblemintoalinearoptimizationproblem,whichgreatlyimprovetheconvergencespeed,avoidfallingintolocalminimum.
Usingadaptivedifferentialevolutionalgorithmtotraintheneuralnetwork,relyingonasystemtoavoidtheinitialvalueproblemofaprioriknowledgeisdifficulttochoose;whiletheimproveddifferentialevolutionalgorithmintheinitialstagesofastrongglobalsearchability,asmuchaspossibletofindtheglobaloptimum,butatalaterstagethereisastronglocalsearchabilitytoimproveconvergencerateandsolutionaccuracy;thereforethealgorithmhasstrongglobalsearchability,caneffectivelypreventprematureconvergence,andalgorithmsgoodstability.
HowDoesaDigitalCompassWork?
AnelectroniccompasssuchastheWayfinderusesapatentedmagneticsensortechnologythatwasfirstdevelopedbyPNI,Inc.fortheU.S.military.Thistechnologyiscalled"magneto-inductive"andisthelargestadvancementincompasstechnologysincethefulxgatewasinvented60yearsago.Themagneto-inductivetechnologyisabletoelectronicallysensethedifferenceintheearth'smagneticfieldfromadisturbancecausedbyexternalelementssuchasferro-magneticmaterialsandthemagneticfieldgeneratedbyautomobileelectricalsystems.WayFinderdigitalcompasshasanembeddedmicrocontrollerthatsubtractstheautomobilemagneticfield(thedistortion)fromthestrongerearthmagneticfieldsresultinginahighlyaccuratecompassreading.
CompassInstallation
Theperformanceofacompasswillgreatlydependonitsinstallationlocation.Acompassreliesontheearth’smagneticfieldtoprovideheading.Anydistortionsofearthmagneticfieldbyothersourcessuchasacarmassiveironcomponentsshouldbecompensatedforinordertodetermineanaccurateheading.Sourcesofmagneticfieldsinanyautomobileincludepermanentmagnetsmostlyinitsaudiospeakers,motors,electriccurrentsflowinginitswiring—eitherdcorac,andferro-mag
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