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1、华东交通大学硕士学位论文汽车半主动空气悬架模糊神经网络控制的研究姓名：闵运东申请学位级别：硕士专业：机械设计及理论指导教师：洪家娣20080418AbstractRESEARCHONFUZZYNEURALNETWORKCONTROLFORVEHICLEOFSEMI-ACTIVEAIRSUSPENSIONABSTRACTSuspensionisoneoftheimportantpartsofvehicle,whichhastremendousinfluenceonperformanceofrideco
2、mfortandhandingstability.Thesuspensionsystemhasthreetypes：passivesuspension,semi-activesuspensionandactivesuspension.It'sdifficultfortraditionalpassivesuspensiontoenhancetheridecomfort.However,semi-activesuspensioncanmeettheridecomfortwellbecauseitssus
3、pensionparameterssuchasdampcoefficientorspringfirmnesscanbeadjustable.Comparedwithactivesuspension,semi-activesuspensionismoreinexpensiveandhassimplerstructure.Moreover,ithardlyconsumesenginepowerwhenitworks.Therefore,semi-activesuspensionhasbeenattach
4、edmuchimportancebytheautomobileengineeringindustry.Airspringhashighperformanceinlowfrequencyband,soithasbeenputintousebroadlyontheautomobile.Airspringrigidityisvariable,sosemi-activeairsuspensionisanonlinearsystem.Itisoftendifficulttogetsatisfactoryopt
5、imalresultsofrigiditycontrolbygroovycontrolmethods.Neuralnetworkisoftenusedtoanalyzeanycomplexnonlinearfunction,andfuzzycontrolmethodismainlyusedtocopewithhysteretictime-varyingsystem,thisarticlemainlycarriesonafeasibilitystudyforairsuspensionrigidityc
6、ontrolbythetwomeanstogether.Inthispaper,first,establishedthequarterdynamicsmodeloftwo-DOFanddesignedafuzzyneuralnetworkcontrollerandanidentifieraccordingtotheridecomfortlevel,bycontrollingtheoutputsignal,airspringrigiditycanbechangedtoadaptivelyabsorbt
7、heshock.Then,carriedoutthesimulationbasedonMatlabanddonearestexperimentonpassivesuspension.Throughcomparingsemi-activesuspensionwithpassivesuspensioninoutputparametersofsprungmassacceleration,dynamictireloadanddynamicdeflection,itcanbeknownthatthemodel
8、iscorrectandthevibrationperformanceofsemi-activesuspensionwithfuzzyneuralnetworkcontrolismuchbetterthanthatofpassivesuspension,whichcanimproveridecomfortandmaneuverablestabilityofavehiclegreatly.Theaboveresearcheshaveimportantreferencev
