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1、含非平稳干扰模型辨别与在模型预测控制之应用1Introduction1.1ModelpredictivecontrolSincetheageofindustrialrevolution,controlsystemshavebeeanintegralpartofit.Fromthemanualcontroltoautomaticcontrol,controllingmechanismshavemadegreatprogress.Theadventofputerbasedtechnologyhasliftedcontrolsystemstoane
2、shasprovidedimprovedperformanceandreliability.Modelpredictivecontrol(MPC)isthemostodeltopredictitsbehavioroveracertaintimehorizon.Ateachtimeinterval,acostfunctionisminimizedtooptimizethefuturebehavioroftheplantbycalculatingasequenceofoptimalfutureinputs.Onlythefirstvaluefro
3、mthesequenceisappliedandrestsareignored.Theprocessofoptimalsequencecalculationisrepeatedateachsamplinginstant.MPChasshoprovedresultss,andhasbeeanimportanttoolforcontrollingsystemseperformancedemandsinthepetroleumindustry,butitsapplicationareasarenootive,mining,chemicalandfo
4、odprocessing[1,2].OverthelastfeentinthefieldofMPChasleapedforplementations.Thereissomegapbetplementation.TentgiveimportantdetailsontheprogressofindustrialMPCtechnology.SometheoreticaldetailsoftheMPCalgorithmsarediscussedin[3-9].OverthelastfeberofbookshavebeenotivationThemod
5、elaccuracyisveryimportantinallMPCtechniques.Theplant-modelmismatchresultsinperformancedegradation.Anotherimportantfactorthataffectsthesystembehavioristhepresenceofunmeasureddisturbances.Inrealapplications,disturbancesarenotonlypresentbutalsodifficulttomodelandpredict.Themod
6、elidentificationusingtestsignalsshouldbedoneinacarefulmanner,sothattheidentifiedmodelcouldrepresentallthedynamicsofsystem.Oneimportanttaskinsystemmodelidentificationistomodelnotonlytheprocessbutalsothedisturbances.Afamilyoftransferfunctionbasedmodelsaremonlyusedfordescribin
7、gthesystemdynamics.Dependingupontheirstructuralforms,differenttransferfunctionbasedmodels,likeFIR,AR,ARMA,outputerror(OE)andBJmodels,arerepresentations.Themodelidentificationbeesaplextaskissubjectedtounmeasureddisturbances.Asthedisturbancescannotbedirectlymeasured,theyarege
8、nerallypresumedtofolloodeltodescribetheirdynamics.Mostly,theyaremodeledasfilteredo
