简介：Thispaperproposesanovelideathatclassifiesfaultsintotwodifferentkinds:seriousfaultsandsmallfaults,andtreatsthemwithdifferentstrategiesrespectively.Akindofartificialneuralnetwork(ANN)isproposedfordetectingseriousfaults,andvariablestructure(VS)model-followingcontrolisconstructedforaccommodatingsmallfaults.Theproposedframeworktakesbothadvantagesofqualitativewayandquantitativewayoffaultdetectionandaccommodation.Moreover,theuncertaintycaseisinvestigatedandtheVScontrollerismodified.Simulationresultsofaremotelypilotedaircraftwithcontrolactuatorfailuresillustratetheperformanceofthedevelopedalgorithm.

简介：Thispaperpresentsareal-timemechanismtotoleratefaultsoccurringinawindturbine(WT)system.ThissystemiscomposedofaFASTcodedsimulatordesignedbytheU.S.NationalRenewableEnergyLaboratory.Thedemonstratedmechanismliesunderthetaxonomyofactivefault-tolerantcontrol(FTC)systems,namelyonlineredesignbasedapproach.Intheproposedapproach,wedonotuseanyaprioriinformationaboutthemodeloftheturbineinreal-time.Infact,weuseonlinemeasurementsgeneratedbytheWT.Basedonthegivencontrolspecifications,andtheobservedmeasurementanoccurredfaultisaccommodatedbyreconfiguringtheonlinecontrollersuchthattheWTgeneratesratedpowerevenunderfaultyconditions.Second,noexplicitfaultdiagnosis(FD)moduleisusedinthisapproach.Asaresult,issuesofmodeluncertainty,falsealarms,etc.associatedwithanintegratedFDandcontrollerreconfigurationapproachtoFTCsystemsarenotexperiencedhere.