開關(guān)磁阻電機(jī)間接檢測技術(shù)的研究.pdf

1、西安科技大學(xué)碩士學(xué)位論文開關(guān)磁阻電機(jī)間接檢測技術(shù)的研究姓名：宋景哲申請學(xué)位級別：碩士專業(yè)：檢測技術(shù)與自動(dòng)化裝置指導(dǎo)教師：王勉華20080415Subject：ResearchonPositionSensorlessTechniqueofSwitchedReluctanceMotorSpecialty：DetectingTechnologyandAutomaticEquipmentName：SongJingZheInstructor：Wa

2、ngMianHuaABSTRACTS’叮JI(Signature)門≥h＼’I一∞tt一￥1hO：立：過二一、(Signature)Theswitchedreluctancemotor(SRM)drivesystemhasgottenmoremoreattentionsbecauseofitsexcellentcharacteristicsofthefirmstructure，lowcostandflexiblecontrol，itsa

3、pplicationhasbeenlimitedbytheexistenceofshaftpositionsensorthepreviousschemesofSRDarealwaysequipped謝也rotorpositionsensor，whichdeterminesthesystem’Shi班speedperformance，reliabilityandcostAsaresult，howtOdetectthepositionofn

4、onpositionsensorrotorhasbecomeonemajordirectioninthestudyofSRDTheconfigurationandfundamentaloperatingprincipleofSRMareanalyzedinthesubject。Andthelatestdevelopmentsofthesameresearchfieldbothathomeandatabroadarewellanalyze

5、datthebeginningofthedissertationThesame，thissubjectputsemphasisonthetwodifferentdetectingmethodsofnonpositionsensorrotorwhicharebasedonArtificialNeuralNetwork(ANN)andnon—linearinductancemodelofSRMThedetectingmethodofSRM’

6、SrotOrpositionbasedonArtificialNeuralNetwork(ANN)isfirststudiedinthispaperAnANNrotorpositionmodel毋瓴￡)ofSRMisbuilt、ⅣithmodifiedBPneuralnetworkDuetothenonlinearinfluencebetweenphaseinductanceandrotorposition，whenaneuralnet

7、workmodelisusedTherearemoreerrorswherethemotorsairintervalisbiggerSothispapersuggeststOapplytwoneuralnetworksconsideringthedifferentsituationEmulationresultimpliesthismethodiseffectiveInthepaperbedirectedagainstofthemeth

8、od，whichisbasedonnon—linearinductancemodelofSRM，which’Sprinciplefirstwellisanalyzed。Themethodneedactivephasecurrentsaremeasuredinrealtimeandusingthesemeasurements，thedynamicequationsrepresentingtheactivephasesaresolvedus