简介:Inthispaper,twoirreversibleexothermicautocatalyticreactionswhichcarryoutincontinuousstirredtankreactor(CSTR)areconsidered.Adifferential-algebraicsystemisappliedtomodelthesechemicalreactions.Thestabilityandthedynamicbehaviorarestudiedforthedifferential-algebraicsystem.TheHopfbifurcationappearswhentheparameterexceedsacriticalvalue.Inordertoeliminatethiscomplexbehavior,thedifferential-algebraicsystemisdescribedbyasingle-inputandsingle-outputsystemwithparametervaryingwithindefiniteintervals,andthenvariablestructurecontrolwithslidingmodebasedonaspecialpowerreachinglawisdesignedtostabilizethischemicalsystem.Numericalsimulationsaregiventoillustratetheeffectivenessofthemethod.
简介:Thispaperproposesanovelideathatclassifiesfaultsintotwodifferentkinds:seriousfaultsandsmallfaults,andtreatsthemwithdifferentstrategiesrespectively.Akindofartificialneuralnetwork(ANN)isproposedfordetectingseriousfaults,andvariablestructure(VS)model-followingcontrolisconstructedforaccommodatingsmallfaults.Theproposedframeworktakesbothadvantagesofqualitativewayandquantitativewayoffaultdetectionandaccommodation.Moreover,theuncertaintycaseisinvestigatedandtheVScontrollerismodified.Simulationresultsofaremotelypilotedaircraftwithcontrolactuatorfailuresillustratetheperformanceofthedevelopedalgorithm.
简介:Adaptivefilteringalgorithmsareinvestigatedwhensystemmodelsaresubjecttomodelstructureerrorsandregressorsignalperturbations.Systemmodelsforpracticalapplicationsareoftenapproximationsofhigh-orderornonlinearsystems,introducingmodelstructureuncertainties.Measurementandactuationerrorscausesignalperturbations,whichinturnleadtouncertaintiesinregressorsofadaptivefilteringalgorithms.Employingordinarydifferentialequation(ODE)methodologies,weshowthatconvergencepropertiesandestimationbiascanbecharacterizedbycertaindifferentialinclusions.Conditionstoensurealgorithmconvergenceandboundsonestimationbiasarederived.Thesefindingsyieldbetterunderstandingoftherobustnessofadaptivealgorithmsagainststructuralandsignaluncertainties.
简介:Thispaperdealswiththevectorcontrol,includingboththedirectvectorcontrol(DVC)andtheindirectvectorcontrol(IdVC),ofinductionmotors.ItiswellknownthattheestimationofrotorfluxplaysafundamentalroleintheDVCandtheestimationofrotorresistanceisvitalintheslipcompensationoftheIdVC.Intheseestimations,theprecisionissignificantlyaffectedbythemotorresistances.Therefore,onlineestimationofmotorresistancesisindispensableinpractice.Forafastestimationofmotorresistances,itisnecessarytoslowdowntheconvergencerateofthecurrentestimate.Ontheotherhand,forafastestimationoftherotorflux,itisnecessarytospeedupitsconvergencerate.Itisverydifficulttorealizesuchatrade-offinconvergenceratesinafullorderobserver.Inthispaper,weproposetodecouplethecurrentobserverfromthefluxobserversoastorealizeindependentconvergencerates.Then,theresistanceestimationalgorithmisappliedtobothDVCandIdVC.Inparticular,intheapplicationtoIdVCthefluxobserverneedsnotbeused,whichleadstoasimplerstructure.Meanwhile,independentconvergenceratesofcurrentobserverandfluxobserveryieldanimprovedperformance.Asuperiorperformanceinthetorqueandfluxresponsesinbothcasesisverifiedbynumeroussimulations.