a nonlinear regression model-based predictive control algorithm

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1、ISATransactions48(2009)180189ContentslistsavailableatScienceDirectISATransactionsjournalhomepage:www.elsevier.com/locate/isatransAnonlinearregressionmodel-basedpredictivecontrolalgorithmR.Dubaya,,M.Abu-Ayyadb,J.M.HernandezaaUniversityofNewBrunswick,Departm

2、entofMechanicalEngineering,15DineenDr,Fredericton,NB,Canada,E3B5A3bPennStateUniversity,DepartmentofMechanicalEngineering,777WestHarrisburgPike,Middletown,PA17057,UnitedStatesarticleinfoabstractArticlehistory:Thispaperpresentsauniqueapproachfordesigninganonli

3、nearregressionmodel-basedpredictiveReceived6August2008controller(NRPC)forsingle-input-single-output(SISO)andmulti-input-multi-output(MIMO)processesReceivedinrevisedformthatarecommoninindustrialapplications.Theinnovationofthisstrategyisthatthecontroller28Nove

4、mber2008structureallowsnonlinearopen-loopmodelingtobeconductedwhileclosed-loopcontrolisexecutedAccepted3December2008everysamplinginstant.Consequently,thesystemmatrixisregeneratedeverysamplinginstantusingaAvailableonline13January2009continuousfunctionprovidin

5、gamoreaccuratepredictionoftheplant.Computersimulationsarecarriedoutonnonlinearplants,demonstratingthatthenewapproachiseasilyimplementedandprovidestightKeywords:Nonlinearregressioncontrol.Also,theproposedalgorithmisimplementedontworealtimeSISOapplications;aDC

6、motor,aMulti-modelpredictivecontrolplasticinjectionmoldingmachineandanonlinearMIMOthermalsystemcomprisingthreetemperatureModelingzonestobecontrolledwithinteractingeffects.Theexperimentalclosed-loopresponsesoftheproposedalgorithmwerecomparedtoamulti-modeldyna

7、micmatrixcontroller(MPC)withimprovedresultsforvarioussetpointtrajectories.Gooddisturbancerejectionwasattained,resultinginimprovedtrackingofmulti-setpointprofilesincomparisontomulti-modelMPC.'2008ISA.PublishedbyElsevierLtd.Allrightsreserved.1.Introductionusin

8、ganinterpolationmethod.MultiplemodelapproachesholdgreatpromisefornonlinearsystemsbecausetheyprovidetheDevelopingnonlinearcontrollersisoneofthemostchallengingabilitytorepresentacomplexnonlinearpr