基于优先级策略的mpc性能评估与应用

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1、万方数据浙江大学硕士学位论文为研究对象，搭建了仿真平台以及性能评估与监控系统，得到MPC潜在的控制性能目标以及经济目标，验证了FCC反．再系统优先级经济性能评估结果，并得到了用于FCC反一再系统的优先级性能监控的系统性能警戒值。关键词：控制性能评估经济性能评估优先级LQG基准软约束调整控制性能监控IV万方数据基于优先级策略的MPC性能评估及应用AbstractMPC(ModelPredictiveContr01)iswidelyappliedinindustryandalwaysappearsindouble—layer，oneforlocalstea

2、dy—stateoptimizationandtheotherfordynamiccontrol，inpractical．MPCcontrollerperformanceassessmentmethodsbasedonMVC(MinimumVarianceContr01)benchmarkorLQG(LinearQuadraticGaussian)benchmarkcanbeusedtoevaluatethepotentialcontrolandeconomicperformance，andrealizecontrolwiththegivenreaso

3、nableminimumconstraintback-offvaluegiven．Atthesametime，itprovidesthedynamiccontrollayerwithcorrespondingoptimizedcontrolparameters，reducingthefluctuationsofprocessvariablesandpromotingtheabilityoftrackingset-point，SOastoimprovethesystemeconomicbenefits．Inthesemethods，differentob

4、jectives(e．g．，safety,productquality,andeconomics)ingeneralaretakenintoaccountinoneweightedobjectivefunction．Thetuningoftheweightsfordifferentobjectives，however,isnotatrivialtaskandstillremainsanopenquestion．Moreover,duetopracticalconcernssuchassafety,productquality,economic，etc．

5、，oneobjectivemayhavetotalsuperiorityoveranother．Furthermore，duringtheMPCsteady-stateoptimizingprocess，constraintsmaybedividedintohardonesandsoftones．Insomeextremecase，softconstraintsorobjectivefunctionwithalowerprioritylevelwouldbeallowedoverflowingorretractionwithinacertaingrad

6、einordertoobtainthefeasibleregionorreducingtheconservatism．Inthiswork，aprioritizedLQGbenchmarkisdevelopedandappliedtotheeconomicperformanceassessmentofMPCwithprioritizedobjectives．Themainworksarelistedasfollows：(1)Performanceassessmentproblemofcontrolsystemwithconstraintsisstudi

7、ed．TakeadvantageoftheflexibilityofLMI(LinearMatrixInequality)insolvingLQGproblem，aLQGbenchmarksolvingstrategywiththevarianceconstraintsofinputvariablesandstatevariablesobtainedbyLMIisproposed．Onthisbasis，afurtherdevelopedinfaceofnofeasibledomainV万方数据浙江大学硕士学位论文existing，introducin

8、gprioritizedconstraintstuningstrategytoensureLQ