A Web Based Clustering Analysis Toolbox WBCA design Using MATLAB.docx
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AWebBasedClusteringAnalysisToolboxWBCAdesignUsingMATLAB
Inthissystemtwopermanent-magnet-brushlessdcmotors(PMBDCMs)areconnecteddirectlyinserial,inordertocutdownthedifferentialalgorithmthoroughlyinvelocitycontrolstrategy.ThisstructurecanrealizethedifferentialautomaticallywhentheEVrunsonthesmoothroadatlowspeed.Butthisstructureconsidersthecharactersofthemotoronly,whichisanidealsystem.EVisacomplexelectromechanicalsystem,anditsworkconditionisalsocomplex.Thevariationoftheexternalconditionandtheworkconditionofoperationcanaffecttheoperationofmotor,sothestateoftheEVwillchange.Inthispaper,accordingtothechangeoftheworkconditionandroadcondition,combinedwiththedynamicsofEV,thisproblemwaswellstudied.TheneuralnetworkPIDcontrolmodewasusedinthispaper,andbymeansoftheMatlab/Simulinkandtheexperimentalverification,itrevealsthatthismethodcanenhancethesafetyandstabilityofthissystem.
ArticleOutline
1.Introduction
2.PMBDCM’scharacter
3.Serial-typemotorselectricvehicledrivingsystem
4.DynamicmodelofthewholeEV
5.Forcediagramofthetyre(Konghui,1991)
6.NeuralnetworkPIDcontrolmode
7.Simulationandexperimentalresults
8.Conclusion
References
104
Multi-objectivemodel-basedcontrolforanautomotivecatalyst OriginalResearchArticle
JournalofProcessControl,Volume16,Issue1,January2006,Pages27-35
KennethR.Muske,JamesC.PeytonJones
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Abstract
Amodel-basedfeedforward/feedbackairfuelratiocontrollerthatoptimizestheoxygenstoragecapacityofthethree-waycatalystinautomotiveemissioncontrolsystemsispresented.Thisworkincorporatesasimplifieddynamiccatalystmodelthatdescribesthephysicalbehaviorofoxygenchemisorptionandreversibledeactivationinthecatalystsystem.Anovelaspectofthisworkistheuseoftheoxygenstoragecapabilityofthecatalystnotonlytominimizevehicleemissionsbutalsotooptimizeengineperformanceandfueleconomyduringtransientenginedemand.Thefeedback/feedforwardcontrollerisanonlinearmodelpredictivecontrollerthatincorporatescatalyst,engineairfuelratiocontroller,andfuelsystemmodelstodeterminetheoptimalairfuelratiotargettrajectory.Feedbackisprovidedbyanonlinearmovinghorizonestimationstrategyforthedeterminationoftheoxygenstoragelevelofthecatalystbasedonairfuelratiosensors.
ArticleOutline
1.Introduction
2.Catalystoperation
3.Catalystsystemmodel
3.1.Catalystoxygenstoragemodel
3.2.Post-catalystUEGOsensordistortion
3.3.Pre-catalystairfuelratioandfuelsystemmodels
3.4.Discrete-timesystemmodel
4.Oxygenstoragestateestimation
5.Model-basedcatalystcontrolstrategy
5.1.Model-basedcontrolalgorithm
5.2.Airfuelratiotargetreference
6.Example
7.Conclusions
Acknowledgements
References
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105
Simulationofairflowandpollutionlevelscausedbyseveretrafficjaminaroadtunnel OriginalResearchArticle
TunnellingandUndergroundSpaceTechnology,Volume25,Issue1,January2010,Pages70-77
S.Bari,J.Naser
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Abstract
ComputersimulationswerecarriedouttostudyairflowpatternsandpollutionlevelsduetoemissionsfromvehiclesforthewestboundMelbourneCityLinktunnelunderseverelycongestedtrafficjamconditions.Thetimeaveragedequationsforvelocity,pressure,temperatureandmassfractionofemissionsweresolvedusingCFDsoftwareFLUENT6.0.ThemaximummassfractionsofO2,CO2andCOwerefoundtobe0.16,0.14and0.002,respectively.Thesehighlevelsofpollutantsweredetecteddespitethefactthatroof-mountedfanspushedexhaustfumesouttheexitandsuckedfreshairinfromtheinletofthetunnel.Duringanotherconditionofpowerfailure,whenthefanswerenotinoperation,theflowinsidethetunnelwasmainlydrivenbybuoyancyandtheconcentrationlevelsofO2,CO2andCOwerethenfoundtobe0.05,0.18and0.0028,respectively.Thesesemissionsfromthevehiclesforbothcasesposedathreattohumanhealth.Toavoidthisdangeroussituationamulti-prongedapproachisneededthatincludeshavingalternativesourcesofpowerforthefans,ensuringfasterevacuationofpassengersanddrivers,aswellasswitching-offenginesduringprolongedtrafficstandstill.
ArticleOutline
1.Introduction
2.MelbourneCityLinktunnel
3.Solutiondomainandboundaryconditions
4.Mathematicalmodel
5.Resultsanddiscussions
5.1.Bothreversiblejetandaxialfansrunning
5.2.No-fan-running
6.Conclusions
Acknowledgements
References
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106
Optimaltollsformulti-classtraffic:
Analyticalformulationsandpolicyimplications OriginalResearchArticle
TransportationResearchPartA:
PolicyandPractice,Volume43,Issue4,May2009,Pages445-467
JoséHolguín-Veras,MecitCetin
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Abstract
Thispaperputstogetherananalyticalformulationtocomputeoptimaltollsformulti-classtraffic.Theformulationiscomprisedoftwomajormodules.ThefirstoneisanoptimizationcomponentaimedatcomputingoptimaltollsassumingaStackelberggameinwhichthetollagencysetsthetolls,andtheequilibratingtrafficplaystheroleofthefollowers.Theoptimizationcomponentissupportedbyasetofcostmodelsthatestimatetheexternalitiesasafunctionofamultivariatevectoroftrafficflows.ThesemodelswereestimatedusingTaylorseriesexpansionsoftheoutputobtainedfromtrafficsimulationsofahypotheticaltestcase.Ofimportancetothepaperisthetotaltraveltimefunctionestimatedusingthisapproachthatexpressestotaltraveltimeasamultivariatefunctionofthetrafficvolumes.Theformulationpresentedinthepaperisthenappliedtoavarietyofscenariostogaininsightintotheoptimalityofcurrenttollpolicies.Theoptimaltollsarecomputedfortwodifferentcases:
independenttolls,andtollsproportionaltopassengercarequivalencies(PCE).
ThenumericalresultsclearlyshowthatsettingtollsproportionaltoPCEsleadstolowervaluesofwelfarethatareonaverage15%lowerthanwhenusingindependenttolls,though,insomecasesthetotalwelfarecouldbeupto33%lower.Thisisaconsequenceoftwofactors.First,thecaseofindependenttollshasmoredegreesoffreedomthanthecaseoftollsproportionaltoPCEs.Second,tollsproportionaltoPCEsdonotaccountforexternalitiesotherthancongestion,whichislikelytoleadtolowerwelfarevalues.
Theanalyticalformulationsandnumericalresultsindicatethat,becausethetotaltraveltimeisanon-linearfunctionofthetrafficvolumes,themarginalsocialcostsandthustheoptimalcongestiontollsalsodependonthetrafficvolumesforeachvehicleclass.Asaresultofthis,fortherelativelylowvolumesoftrucktrafficobservedinreallife,theoptimalcongestiontollsfortruckscouldindeedbeeitherloweroraboutthesameasforpassengercars.ThisstandinsharpcontrastwithwhatisimpliedintheuseofPCEs,i.e.,thatthecontributiontocongestionareconstant.ThislatterassumptionleadstooptimaltruckcongestiontollsthatarealwaysproportionaltothePCEvalues.
Thecomparisonofthetollratios(trucktollsdividedbypassengercartolls)forbothobservedandoptimalconditionssuggeststhatthetollsforsmalltrucksareabouttherightlevel,maybeaslightlylowerthanoptimal.However,theanalysisofthetollratioforlargetrucksseemstoindicateasignificantovercharge.Theestimatesshowthattheaverageobservedtollratioforlargetrucksisevenhigherthanthemaximumoptimaltollratiofoundinthenumericalexperiments.Thissuggeststhatthetollsforlargetrucksaresetonthebasisofrevenuegenerationprincipleswhilethepassengercartollsarebeingsetbasedonamildformofwelfaremaximization.Thisleadstoasuboptimalcross-subsidizationofpassengercartrafficindetrimentofanimportantsectoroftheeconomy.
ArticleOutline
1.Introduction
2.Literaturereview
3.Economicmodel
4.Demandfunctions
5.Externalcosts
5.1.Congestioncosts
5.2.Environmentalcosts
5.3.Pavementcosts
5.4.Totalcostmodel
5.5.Estimationofexternalcostmodelsfornumericalexperiments
5.6.Estimationofexternalitycostmodels
6.Optimizationproblems
6.1.Optimizationproblem#1(multipleindependenttolls)
6.2.Optimizationproblem#2(tollsproportionaltopassengercarequivalencies)
7.Selectionofvaluationestimates
8.Numericalresults
8.1.Welfareimplications
8.2.Optimaltolls
9.Conclusions
Acknowledgements
References
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107
Open-architecturesystembasedonareconfigurablehardware–softwaremulti-agentplatformforCNCmachines OriginalResearchArticle
JournalofSystemsArchitecture,Volume56,Issue9,September2010,Pages407-418
LuisMorales-Velazquez,RenedeJesusRomero-Troncoso,RoqueAlfredoOsornio-Rios,GilbertoHerrera-Ruiz,EduardoCabal-Yepez
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Abstract
Newgenerationofmanufacturingsystemsendowstheirintelligenceandreconfigurabilitytothecomputerizednumericalcontroll