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1、AdvancedMaterialsResearchVols.335-336(2011)pp571-576Onlineavailablesince2011/Sep/02atwww.scientific.net©(2011)TransTechPublications,Switzerlanddoi:10.4028/www.scientific.net/AMR.335-336.571NovelActiveDisturbanceRejectionControlforPermanentMagnetLinearSynchrono
2、usMotorwithoutSensor1,a,2,bChuanshengTangYuehongDai1,2SchoolofMechatronicsEngineering,UniversityofElectronicScienceandTechnologyofChina,Chengdu,611731,Chinaabtcs111@163.com,daiyh@uestc.edu.cnKeywords:PMLSM,Sensor,ActiveDisturbanceRejectionControl(ADRC),Artific
3、ialFishSwarmAlgorithm(AFSA)Abstract.AnovelADRCschemeisproposedforpermanentmagnetlinearsynchronousmotorwithoutsensor,whichhasnonlinear,multi-loaddisturbanceandparametertime-varyingcharacteristics.Extendedstatesobserver(ESO)inADRCcanreal-timeestimatespeed,locati
4、onanduncertaindisturbance,andtheparametersartificialisusedtooptimizebyfishswarmalgorithm.Finally,simulationresultsconfirmtheproposedstrategyhasbettertrackingperformanceandrobustnessthanthetraditionalone.IntroductionLinearmotordirectdriveservosystem,whichhassim
5、plestructure,fasterdynamicresponse,highprecision,highspeedandacceleration,lowervibrationandnoise,etc.,iswidelyusedinmachinery,transportation,logisticsandotherfields,especiallyforallkindsofhigh-speedandhigh-precisionmachinetooldrivesystems[1-2].However,thesyste
6、m,whichhashighlynonlinear,strongcoupling,unmoldeddynamicsanduncertainloaddisturbances,etc.,isdifficulttocontrol.Conventionalcontrolstrategies,suchasPIDcontrol[3-4],haveasimplestructure,implementeasily,andcertainrobustness,butover-relianceonthemathematicalmode.
7、Adaptivecontrol,sliding-modecontrol,robustcontrol,self-learningcontrol,fuzzyneuralnetworkcontrol,waveletneural-networkcontrol[5-10]arestudiedtoimprovedsystemperformance.Thefirstthreemethodsarealsobasedonsystemmathematicalmodelanddisturbancemodel,andthelattersa
8、reoftenverycomplextodesign,soitisdifficulttoachieveforproductionpractices.Withrapidprogressinelectronics,microprocessors,andcontroltheory,sensorlesscontroltechnologyhasbeenpaidmore
