冷连轧机板形智能控制系统研究

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1、l，●东北大学硕士学位论丈AbstractResearchOilintelligentcontrolsystemofflatnessfortandemcoldmillAbstractFlatnessisallimportanttargetforqualityofthestripsteel．Andtheflatnesscontrolisthekeytechnologyofmodemrollingmillswithhi．ghprecisionofflatness．Theintelligentrealizationofflatnesspattemrecognitionandcon

2、troltechnologyistheleadingresearchsubjectallovertheworldinthecontrolofmodemrollingmills．TakingtheintelligentflatnesscontrolsystemoftandemcoldrollingmillaSthesubject，theauthorhasdonealotoftheoreticalresearchandsimulationanalysisontheflatnesspattemrecognition，controlstrategyofexecutingmachin

3、easwellastheintegratedflatnesscontrolsystem．Theflatnesspattemrecognitionisthekeytotheflatnesscontr01．Analyzingtheproblemsexistinginthetraditionalmethodandthenetworkmethodinflatnesspattemrecognition．theauthorhasdesignedaBRE—GA-BPnetworkbasedonthebinaryencodingcombinedwithrealnumberencoding，

4、whichhasbeenusedinthefoundationoftheintelligentrecognitionmodeloftheflatness．Thereareonly3inputsand3outputsinthismodel，andeachinternallayerofthenetworkhasadefinitephysicsmeaning．Theflatnesspatternrecognitionmodeldesignedabovehasaquickrecognitionspeedandhi曲precision．Itisasimpleandusefulmeth

5、odfortheflatnesspatternrecognition．Becauseofthenon-linearcharacter,time·variability,strongcouplingandthesevereinterferenceoftheflatnessexecutingmachine，itishardtogetagoodcontroleffectusingtheclassicalcontrolmethodandmodemcontrolmethodbasedontheempiricalmodel．Thus，theauthordesignedanIMC(int

6、ernalmodelcontr01)strategybasedondynamicnetworkandminimum．varianceself-turningcontr01．111iscontrolstrategyCallidentifythemodelandtheinversemodelofthesystemdynamically,SOithaslittledependenceofthesystemmodelandcailovercomethedisadvantagesbroughtbythechangesofthemodel嬲wellaskindsofnonlinearf

7、actors．Meanwhile，regulatingfunctionoftheexecutingmachineoftheflatnesscontrolsystemismadefulluseof．Andthedynamicperformanceofthesystemisimproved．瞅ingthelocaledataasbasis．theneuralnetworksofflatnesscontrollermoduleandflatnesscalculatingmodulehasbeenfounded．Andba