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基于混沌PSONN-PID神经网络的热连轧活套系统自适应解耦控制（英文）.docx

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基于混沌PSONN-PID神经网络的热连轧活套系统自适应解耦控制（英文） Title:AdaptiveDecouplingControlofHotRollingActiveSleeveSystemBasedonChaoticPSONN-PIDNeuralNetwork Abstract: Inthefieldofhotrolling,theactivesleevesystemplaysavitalroleinthecontrolandstabilityoftheprocess.Inthispaper,weproposeanadaptivedecouplingcontrolstrategybasedonachaoticParticleSwarmOptimizedNeuralNetwork(PSONN)-ProportionalIntegralDerivative(PID)controllertoeffectivelyaddressthesystem'snonlinearity,uncertainty,andinter-couplingissues.Theproposedmethodisimplementedandtestedonahotrollingactivesleevesystem,andtheresultsdemonstratethattheproposedapproachprovidessuperiorcontrolperformancecomparedtotraditionalcontrolmethods. 1.Introduction Thehotrollingprocessiswidelyusedintheproductionofsteelandothermetalproducts.Theactivesleevesystem,whichconsistsofmultipleactuatorsandsensors,isresponsibleforadjustingthepositionandpressureoftheworkrollstomaintainstablerollingconditions.However,duetotheinherentnonlinearity,uncertainty,andstrongcouplingeffectsofthesystem,traditionalcontrolmethodsoftenfailtoachievesatisfactoryperformance.Therefore,thereisaneedforamoreadvancedcontrolstrategy. 2.LiteratureReview Thissectionprovidesanoverviewoftheexistingcontrolmethodsusedinhotrollingprocesses.Itdiscussesthelimitationsoftraditionalcontrolmethodsandthebenefitsofusingneuralnetworksforcontrolapplications.TheliteraturereviewalsocoverstheapplicationofParticleSwarmOptimization(PSO)algorithmsinoptimizingneuralnetworkparameters. 3.SystemModeling Thehotrollingactivesleevesystemismodeledusingmathematicalequationstocaptureitsdynamicsandinter-couplingeffects.Themodelingprocessincludestheidentificationofsystemparametersandthederivationofstate-spaceequations. 4.ChaoticPSONN-PIDControllerDesign Theproposedcontrolstrategycombinestheadvantagesofchaoticsystems,PSONN,andPIDcontrollers.ThechaoticsystemisincorporatedtoenhancetheexplorationandexploitationcapabilitiesofthePSOalgorithm,leadingtoimprovedparameteroptimization.ThePSONNisutilizedasthecontrolmechanism,withtheabil