异步电机无速度传感器矢量控制的研究

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1、Y1404744分类号：UDC：密级：学校代号：10150学号：20052238峡建交取挚硕士学位论文异步电机无速度传感器矢量控制的研究TheResearchonVectorControlofInductionMotor学生姓名：导师及职称：学科门类：专业名称：研究方向：申请学位级别：论文答辩日期：学位授予单位：杨承光刘文生教授工学交通信息工程及控制电力传动及控制硕士2008年1月4日大连交通大学大连交通大学工学硕士学位论文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谢thsensor，dosomesimulationresearchworkonit．Basedonthecompar