基于神經(jīng)元的異步電機(jī)dtc系統(tǒng)轉(zhuǎn)速辨識

1、中南大學(xué)碩士學(xué)位論文基于神經(jīng)元的異步電機(jī)DTC系統(tǒng)轉(zhuǎn)速辨識姓名：高宏洋申請學(xué)位級別：碩士專業(yè)：電力系統(tǒng)及其自動化指導(dǎo)教師：喻壽益20080528ABSTRACTTheclosed100pofspeediSessentialinthehighperformancedirecttorquecontrolsystemThesesensorssuchasthephotoelectricpulseencoderhadbeenusedforthef

2、eedbackofspeedsignalinthetraditionalDCTsystemHoweverinstallingthespeedsensorbroughtaboutseriesofproblemssuchaslowerreliability、biggervolumeandhighercostThedirecttorquecontroltechnologybasedonspeedsensorlesshadbecomethecu

3、rrentresearchinghotspotofACdriveAnewkindofspeedidentificationmethodwhichwasbasedonastatormagneticfieldorientedandneuronstheoryintheDTCsystemwaspresentedinthisdissertationagainstthedeficienciesoftheprevenientspeedidentifi

4、cationmethodAsynchronousmotormathematicalmodelwasestablishedinstatorQ一6coordinatesystemaccordingtothenewmethodbasedonDTCtheoryandstatorcurrentequationofstatecouldbegainedaccordingtothismodelandtransformedintoneuronswithf

5、iveinputnodesoneoutputnodeanadaptiveidentificationmodulesdriverredbystatorcurrentwasderivatedAccordingtospeedidentificationformula，speedcouldbeestimatedfleetlyandtransferredbacktoadjustmodelwhoseparameterscouldbemodified

6、andtheadjustmentmadethemapproximatetotherealvalueThesimulationresultscomparedwiththeconventionalspeedidentificationmethodbasedonneuronsinthematlab／sinulinkusingparametersof37kWasynchronousmotorsshowedtheidentifiedspeedco

7、uldaccuratelytracktheactualspeed，performgooddynamicresponse、eliminatethespeedsettlementofthetraditionalmethodsandthestatorfluxiSrounderInparticularwhentheparametersofsystemchangedsuddenlythesystemwasofgreatrobustnessande

8、asytoapplicationAdigitalsystemforspeedsensorlessDTCsystemhadbeendesignedbasedonTM$320F2812digitalprocessorwhichiSproducedbytheTIcompanyTheimprovedspeed—identificationalgorithmwasimplementedinthissystemagainstthetradition