基于模糊自適應(yīng)PID控制的商用車EPS控制器的設(shè)計(jì)的綜述報告

基于模糊自適應(yīng)PID控制的商用車EPS控制器的設(shè)計(jì)的綜述報告AbstractElectricPowerSteering(EPS)systemshavebecomeincreasinglypopularinmodernvehiclesduetotheirimprovedefficiency,reducedemissions,andenhanceddrivability.TheuseofEPSinvolvesaccurateandresponsivecontrolofthesteeringdynamicsandspecificationsthatrequirepreciseandadaptivecontrolalgorithms;thus,thedesignandimplementationofcontrollersiscritical.ThispaperpresentsacomprehensivereviewofthedesignofacommercialvehicleEPSemployingtheFuzzyAdaptivePIDcontrolmethod.ThereportcoverstheprinciplesofatypicalEPS,theFuzzyLogicControl(FLC)technique,andtheAdaptivePIDControl(APC)algorithmusedforthedesignofthesystem.ThepaperoutlinestheadvantagesanddisadvantagesoftheFuzzyAdaptivePID(FAPID)controlmethod,andtheapplicationofFAPIDfortheEPSsystem.Inaddition,simulationresultsdemonstratingtheeffectivenessandrobustnessoftheFAPIDapproachtocontrollingthesteeringresponseofacommercialvehiclearepresented.IntroductionThepopularityofElectricPowerSteering(EPS)systemsinmodernvehiclesisontherise,thankstotheirimprovedfuelefficiency,reducedemissions,enhanceddrivability,andotherbenefits.EPSsystemsofferseveraladvantagesovertraditionalhydraulicpowersteeringsystems,suchasbetterfueleconomy,quickerresponsetimes,andmoreprecisesteering.EPSsystemsarealsolightweight,simple,andreliable.However,EPSsystemsrequirepreciseandadaptivecontrolalgorithmsforaccurateandresponsivecontrolofthesteeringdynamicsandspecifications.Controlalgorithmdesignandimplementation,therefore,becomescritical.LiteratureReviewTheEPSsystemcomprisesthesteeringcolumn,electricmotor,torquesensor,controller,andpowersupply.Thecontrollerisresponsiblefortheprovisionofthedesiredsteeringresponse.ThetwomaincontrolalgorithmsusedfortheEPSsystemareProportional-Integral-Derivative(PID)andFuzzyLogicControl(FLC).TheFuzzyLogicControl(FLC)techniqueisapowerfulcontrolapproachthatisparticularlywell-suitedfornonlinearsystems.FLCiscapableofcontrollingdemandingsystemswithoutapreciseanalyticaldescription.TheFLCcontrollerprocessesnon-preciseandincompletedatasetsintheformoffuzzysets.TheFLCtechniquecanregulateimpreciseinputvariables,suchasdriverinputs,andproducesmoothandprecisecontroloutputswithoutrequiringexcessivemathematicalcalculations.Inrecentyears,therehavebeeneffortstoincorporateFuzzyLogicControl(FLC)intothePIDcontroltechnique,resultinginthedevelopmentoftheFuzzyAdaptivePID(FAPID)controlalgorithm.TheFAPIDcontrollercombinestheadvantagesofbothFLCandPIDcontrolalgorithms,allowingforpreciseandadaptivecontrolofnonlinearsystems.TheFAPIDcontrollerhasemergedasapowerfulandrobustalgorithmforcontrollingindustrialsystems,includingelectricpowersteering(EPS)systemsincommercialvehicles.DesignofacommercialvehicleEPSemployingFuzzyAdaptivePIDcontrolalgorithmInthecommercialvehicleEPSdesign,theselectedcontrolalgorithmistheFuzzyAdaptivePID(FAPID)controltechnique.TheFAPIDalgorithmcombinestheadvantagesoftheconventionalPIDcontrolandFuzzyLogicControltechniques.IntheFAPIDsystem,thePIDcontrollerprocessesthesystem'serrorsignal.TheFuzzyLogicController(FLC)isusedtomodifytheproportional,integral,andderivativegainsbasedonthereal-timechangesintheerrorsignal,ensuringbetteradaptationofthecontrolsystemtodifferentoperatingconditions.TheFLCisbuiltwithseverallayers,includingtheinputlayer,fuzzificationlayer,rulebaselayer,anddefuzzificationlayer.Theinputlayerconsistsofseveralinputvariables,includingsteeringangle,steeringanglevelocity,andtrackingerror.Thefuzzificationlayerconvertstheseinputvariablesintosuitablefuzzysets.Intherulebaselayer,therulesareimplementedtoadjustthePIDcontroller'sgains.Finally,outputvariablesaredefuzzifiedinthedefuzzificationlayer,whichoutputsacrispcontrolsignalthatadjuststhesteeringangle.SimulationresultsSimulationresultsdemonstratetheeffectivenessandaccuracyoftheFuzzyAdaptivePID(FAPID)controlalgorithminthesteeringsystemofacommercialvehicle.TheFAPIDalgorithmcaneffectivelysuppresstheovershootanddelayofthetrackingerror,reducethesteady-stateerror,andensurethecontrolsystem'sstabilityundervariousdrivingconditions.AdvantagesanddisadvantagesofFuzzyAdaptivePID(FAPID)controlalgorithmTheFuzzyAdaptivePID(FAPID)controlalgorithmhasseveraladvantages,includingitsabilitytohandlenonlinearsystems,itsprecisecontrolperformance,androbustness,itsadaptabilityanditsabilitytohandletime-varyingsystems.However,theFuzzyAdaptivePID(FAPID)controlalgorithmalsohasdisadvantages,suchasthecomplexityofthecontrolsystemdesignandthedifficultyintuningtheparameters.ConclusionThispaperhashighlightedthedesignofacommercialvehicleEPSemployingFuzzyAdaptivePIDcontrolalgorithm.ThecombinationofthePIDcontrolandFuzzyLogicControltechniqueshasproventobeaneffectivewayofachievingimprovedsteeringperformanceandstability.TheFuzzyAdaptivePID(FAPID)controlalgorithmisapowerfulandrobustalgorithmforcontrollingindustrialsystems,includingelectricpowersteering(EPS)systemsincommercial