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一种改进的非定常气动力模糊逻辑建模方法.docx

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一种改进的非定常气动力模糊逻辑建模方法 Introduction Thestudyofnon-stationaryaerodynamicsisofgreatsignificanceinthedesignandcontrolofaircraftandotherflyingobjects.Acommonapproachtomodelingnon-stationaryaerodynamicsisthroughtheuseofmathematicalmodels.However,thesemodelsoftenrequireagreatdealofmathematicalcomputationandmaynotbeapplicabletocertainsituations.Amoreeffectiveapproachmaybethroughtheuseoffuzzylogicmodeling. Fuzzylogicmodelingisatypeofartificialintelligencethathasbeensuccessfullyappliedinvariousfields,includingengineering,finance,andmedicine.Itisparticularlyusefulformodelingsituationsthatarecomplex,uncertain,andhighlydynamic.Thispaperproposesanimprovedfuzzylogicmodelingmethodfornon-stationaryaerodynamics. Background Aerodynamicsisthestudyofthemovementofgasesandtheforcesthataregeneratedbysolidobjectsmovingthroughthem.Non-stationaryaerodynamicsreferstothestudyofthemovementofgasesandforcesgeneratedbysolidobjectsinconditionswherethemovementandflowofgasesarehighlyvariableanddynamic.Examplesofnon-stationaryaerodynamicconditionsincludeturbulentairflows,flightathighaltitude,andmaneuveringaircraft. Mathematicalmodelshavebeenusedtostudynon-stationaryaerodynamics.However,thesemodelsareoftencomputationallyintensiveandmaynotbepracticalinreal-timeapplications.Fuzzylogicprovidesamoreeffectiveapproachtomodelingnon-stationaryaerodynamicsbyrepresentingtheunderlyingrelationshipsbetweeninputandoutputvariablesinamorenaturalandintuitiveway. ImprovedFuzzyLogicModelingMethod Theproposedimprovedfuzzylogicmodelingmethodfornon-stationaryaerodynamicsinvolvesthreesteps:inputvariabletransformation,rulebasecreation,andoutputvariableinference. InputVariableTransformation Thefirststepinthemodelingprocessistotransformtheinputvariablesintoalinguisticform.Inputvariablessuchasvelocity,pressure,andtemperaturearetransformedintofuzzysets,whicharelinguisticrepresentationsoftheinputvariables.Fuzzysetsarecreatedbydefiningasetoflinguisticterms,suchaslow,medium,andhigh,andassigningmembershipvaluestothesetermsbasedonthedegr