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基于模糊逻辑的汽车传动试验台测控系统研究的中期报告 Abstract Asanimportantequipmentforautomobiletestingandresearch,automotivetransmissiontestbenchcanaccuratelysimulatedifferentroadconditionsanddrivingscenarios,andevaluatetheperformanceandreliabilityofthetransmissionsystem.Inthisstudy,afuzzylogic-basedcontrolsystemforautomotivetransmissiontestbenchisproposed.Thecontrolsystemtakesintoaccountdifferentdrivingconditionsandvariouscontrolparameters,aimingtoimprovetheaccuracyandefficiencyoftransmissiontesting.Inthismid-termreport,theprogressoftheresearchispresented,includingthedesignofthecontrolalgorithm,theimplementationofthecontrolsystem,andthepreliminaryexperimentalresults. Introduction Automotivetransmissionsystemsplayacrucialroleintheperformanceandsafetyofautomobiles.Accuratemeasurementandevaluationofthetransmissionsystem'skeyperformanceindicators,suchastorque,speed,andefficiency,areessentialforoptimizingthedesign,improvingthereliability,andreducingthedevelopmentcycleoftransmissionsystems.Automotivetransmissiontestbenchisareliableandeffectivetoolfortransmissiontestingandresearch,whichcansimulatevariousdrivingscenariosandprovidereal-timemeasurementoftransmissionparameters. However,traditionaltransmissiontestbenchesusuallyrequiremanualadjustmentofvariouscontrolparameters,whicharetime-consumingandmayresultininaccurateorinconsistenttestresults.Toaddressthisissue,manyresearchworkshavebeenconductedtodevelopadvancedcontrolsystemsforautomotivetransmissiontestbenches,includingmodel-basedcontrol,adaptivecontrol,andmachinelearning-basedcontrol. Inthisstudy,afuzzylogic-basedcontrolarchitectureisproposedforautomotivetransmissiontestbenchtestingandcontrol.Thecontrolsystemisdesignedtoautomaticallyadjustthecontrolparametersbasedondifferentdrivingscenariosandtransmissionconditions,aimingtoimprovetheaccuracyandefficiencyofthetestprocess. ControlAlgorithmDesign Theproposedcontrolsystemforautomotivetransmissiontestbenchisbasedonafuzzyinferencesystem(FIS),whichisawell-establishedtechniqueforhandlingcomplexanduncert