Multi-loop adaptive internal model control based on a dynamic partial least squares model

(整期优先)网络出版时间:2011-03-13
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Amulti-loopadaptiveinternalmodelcontrol(IMC)strategybasedonadynamicpartialleastsquares(PLS)frame-workisproposedtoaccountforplantmodelerrorscausedbyslowaging,driftinoperationalconditions,orenvironmentalchanges.SincePLSdecompositionstructureenablesmulti-loopcontrollerdesignwithinlatentspaces,amultivariableadaptivecontrolschemecanbeconvertedeasilyintoseveralindependentunivariablecontrolloopsinthePLSspace.Ineachlatentsubspace,oncethemodelerrorexceedsaspecificthreshold,onlineadaptationrulesareimplementedseparatelytocorrecttheplantmodelmismatchviaarecursiveleastsquares(RLS)algorithm.BecausetheIMCextractstheinverseoftheminimumpartoftheinternalmodelasitsstructure,theIMCcontrollerisself-tunedbyexplicitlyupdatingtheparameters,whicharepartsoftheinternalmodel.Bothparameterconvergenceandsystemstabilityarebrieflyanalyzed,andprovedtobeeffective.Finally,theproposedcontrolschemeistestedandevaluatedusingawidely-usedbenchmarkofamulti-inputmulti-output(MIMO)systemwithpuredelay.