基于模糊自适应PID控制的商用车EPS控制器的设计的综述报告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-preciseandin