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1、Y1404744分類號:UDC:密級:學(xué)校代號:10150學(xué)號:20052238峽建交取摯碩士學(xué)位論文異步電機無速度傳感器矢量控制的研究TheResearchonVectorControlofInductionMotor學(xué)生姓名:導(dǎo)師及職稱:學(xué)科門類:專業(yè)名稱:研究方向:申請學(xué)位級別:論文答辯日期:學(xué)位授予單位:楊承光劉文生教授工學(xué)交通信息工程及控制電力傳動及控制碩士2008年1月4日大連交通大學(xué)大連交通大學(xué)工學(xué)碩士學(xué)位論文AbstractThemathematicalmodelofACmotorishigh—order,strongcoupling,multi-variablen
2、onlinearsystems,themosteffectivecontrolofitiSthevectorcontrolfirstraisedin1970s.Sincethevectorcontrolproposed,ithassignificantlyimprovedthedynamicperformanceofACdrivesystem,whichissuretobeaqualitativeleapofACdrivetechnology.InmodemACdrivesystem,inordertoachievehighprecisionclosed-loopspeedcont
3、rol,generalmotorsusesensorssuchasphotoelectricencodertomeasuretherotorspeed.However,theinstallationofcodingdevicebringsshortcomingsasthefollowing:thecostofthesystemgreatlyincreased;reducethesimpleandsolidcharacteristicsofasynchronousmotor;increasethemomentofinertiaofthesystem.Moreover.onsomeoc
4、casionsit’Simpossibletoinstallspeedsensors.Witllspeedsensorlessvectorcontrol,wejustneedtomeasurethetipvoltageandcurrent,thenusethemtospeculaterotorfluxandspeed,toachievethevectorcontrolofACmotor,whileeliminatingthecostandreliabilityproblemscausedbysensor,ithasbecomearesearchfocusofACdrivetechn
5、ology.ArtificialneuralnetworkiScomposedofinterconnectedartificialneuralcell.whichhasthecapacityofself-learning,adaptive,parallelprocessingofinformation,SOithasbeenwidelyusedinmanyfields,suchaspattemrecognition,automationandsignalprocessing,andSOon.Fromtheresearchresultsalreadymade,wecanseethef
6、utureofartificialneuralnetworkasenergetic.Buttherearestillsomeproblems,suchastheintelligencelevelisnotquitehigh,sometheoreticalissuesaboutthenetworkanalysisandsynthesis(stability,convergence)havenotbeensatisfactorilyresolvedyet.However,aspeople’Sunderstandingabouttheinformationprocessingmechan
7、ismofbraingoesdeeper,andtheimprovementofnetworkintelligence,theartificialneuralnetworkissuretoplaykeyrolesinmorefields.Thispaperwillestablishthevectorcontrolmodeloftractionmotor謝thsensor,dosomesimulationresearchworkonit.Basedonthecompar