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1、湘潭大学硕士学位论文AbstractPermanentMagnetSynchronousMotorPIDcontrol,inordertoobtainPIDcontroleffectisimproved,theneedtomodifythedifferentialcoefficientPID,proportionalcoefficient,integralcoefficientthreeparameters.Inindustry,hotspotautomationandcontrolhasbeenaPIDoptimizationcontrol,addsomeo
2、ptimizationalgorithmsinthePIDcaneffectivelyimprovetheaccuracyoftheparametersandtheoptimizationoftime,sothatthePIDparameteroptimizationhasbecomeahotnowadaysresearchwhereintheoptimizationmethodismorecommonlyusedinpermanentmagnetsynchronousmotorPIDcontrolparameters,includinglawexperts,
3、ZNmethodandthesimplexmethod.Inrecentyears,thesmartalgorithminthecontrolsystemareincreasinglycommon,PIDcontrollerwasaddedneuralnetworkcontrolalgorithmmethodisgraduallyrising.Previousoptimizationmethodsarerelativelysimple,buttheseoptimizationmethodshaveshortcomings,suchaslawexpertknow
4、ledgebasedonexperience,expertknowledgetoconstantlyre-trimmingandcorrection;ZNmethodflexibilityisnothigh,andmorethanapredeterminedamount.Intheneuralnetworkalgorithm,duetotheoptimizationprocessofitsargumentisnotsimple,sothatthealgorithmconvergeslongtimetoreducetheaccuracyofthecontrols
5、ystem,thetraditionalparticleswarmsearchfortheoptimalpositionforalongtime,andiseasytofallintolocaloptimization.Atthistime,inordertosolvethePIDparametersoptimizedforlowdegreeofconvergenceinthecontrolaccuracyisnothigh,andfallingintolocaloptimizationproblemsbasedonCauchymutationparticle
6、swarmoptimizationparametersPIDcontrollerisproposed.CauchymutationparticleswarmalgorithmistouseCauchymutationlonger"tail"tomakeglobaloptimalparticle(gbest)jumptoabetterpositiontoescapelocaloptimization,optimalPIDparametersprinciple,firstconstructedmotorcurrentloopfunctionmodelPIvecto
7、rcontrol,andvectorcontrolmodelwhenthepermanentmagnetsynchronousmotor.Then,dependingonthenatureoftheparticleswarmalgorithm,basedonthebandinertiaweightparticleswarmoptimization,addingCauchymutationoperatortoobtainCauchymutationalgorithms,vectorsandthenpermanentmagnetsynchronousmotorsp
8、eedcontrolsystembas
