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弹性机翼阵风响应减缓神经-模糊控制律研究及实验分析(英文).docx

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弹性机翼阵风响应减缓神经-模糊控制律研究及实验分析(英文) ResearchandExperimentalAnalysisofNeural-FuzzyControlLawforMitigatingGustResponseofElasticWings Abstract: Elasticwingshavebeenusedtoimprovetheaerodynamicperformanceofaircraftsduetotheirabilitytodeformandadapttovaryingflightconditions.However,thesewingsaremoresusceptibletogusts,whichcancausesignificantvibrationsandaffectthestabilityoftheaircraft.Inthispaper,aneural-fuzzycontrollawisproposedtomitigatethegustresponseofelasticwings.Thecontrollawisdesignedtoadjustthecontrolsurfacedeflectioninreal-timebasedonthegustintensityandthewing'sdeformation. Awindtunnelexperimentwasconductedtoevaluatetheeffectivenessoftheproposedcontrollaw.Theexperimentinvolvedascaledmodelofanelasticwingwithacontrolsurfaceattachedtothetrailingedge.Thewingwassubjectedtoaseriesofgustswithvaryingintensities.Theresultsshowedthattheproposedcontrollaweffectivelyreducedthewing'sresponsetogusts.Thecontrollawwasfoundtoberobusttodifferentgustprofilesandprovidedbetterperformancethanaconventionalproportional-integral-derivative(PID)controller. Introduction: Elasticwingshavebeenincreasinglyusedinaircraftdesignduetotheirabilitytoadapttodifferentflightconditions,whichallowsforimprovedaerodynamicefficiencyandreducedfuelconsumption.However,elasticwingsaremoresusceptibletogusts,whichcancausesignificantvibrationsthatcanleadtoinstabilityandstructuraldamage.Theresponseofelasticwingstogustsiscomplex,andtraditionalcontrolmethodssuchasproportional-integral-derivative(PID)controllersmaynotbeeffectiveinreducingthevibrations. Toaddressthisproblem,thispaperproposesaneural-fuzzycontrollawthatcanmitigatethegustresponseofelasticwings.Thecontrollawisdesignedtoadjustthecontrolsurfacedeflectioninreal-timebasedonthegustintensityandthewing'sdeformation.Thecontrollawisimplementedusinganeural-fuzzysystem,whichhastheadvantagesofbothfuzzylogicandneuralnetworks.Thefuzzylogicsystemprovidesatransparentandintuitiveapproachtocontrol,whiletheneuralnetworkprovidestheabilitytolearnfromdataandadapttochangingconditions