基于FPGA的永磁同步電機參數(shù)辨識的研究.pdf_第1頁
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1、江南大學(xué)碩士學(xué)位論文基于FPGA的永磁同步電機參數(shù)辨識的研究姓名:劉永欽申請學(xué)位級別:碩士專業(yè):電力電子與電力傳動指導(dǎo)教師:紀(jì)志成沈艷霞20080701AbsttactAbstractPermanentmagnetsynchronousmotor(PMSM)isallattractivecandidatesforhighperformancedrivesystemsbecauseofitshighefficiencyandsuitabi

2、lityforwidespeedrangesofconstantpoweroperationTheperformanceofPMSMservosystemishighlyinfluencedbyvariationofmomentofinertiaInordertoenhancethesystemperformancesitisnecessarytoidentifythemomentofinertiaandadjustthecontrol

3、ler’SparametersBasedonthetraditionalalgorithm,theimprovedidentificationalgorithmsareproposedinthepaperTheperformancesoftheimprovedidentificationalgorithmsareverifiedinMatlabandSystemGeneratorFirstlybasedontheanalysisofPM

4、SMmathematicalmodel,anovelfuzzyPIcontrollerisproposedSimulationsbasedonMatlab/SimulinkarecarriedoutandtheresultsshowthatwhencomparingtothetraditionalPIcontrolstrategysystemswiththeproposedcontrollercharacterizedbyperform

5、ancesofgoodrobustnesstOdisturbancesandparametervarieties,quickresponseandbetterstabilitybutitisstillaffectedlargelybythevariablemomentofinertiaThenmomentofinertiaidentificationresearchisdoneinthispaperTheRecursiveLeastSq

6、uares(RLS)algorithmandmodelreferenceadaptiveidentificationalgorithmarediscoursedOnthebasisofRLSalgorithm,anewidentifierbasedontheRecursiveLeastSquaresalgorithmisproposedAswitchcontrollerisintroducedtOtheForgettingFactorR

7、ecursiveLeastSquares(FFRLS)identifiertoovercomethefluctuationWhenthemomentoftheinertiachanges,theswitchcontrollerinitializetheidentifierandrealizethequicktrackingoftheparameterThesimulationandexperimentsshowthatthismetho

8、disfreefromthefluctuation,theidentifyingismorequicklyandhighprecision,andisbenefitfortheimprovementoftheperformanceofthesystemToreducethefluctuation,onthebasisofmodelreferenceadaptiveidentificationalgorithm,theidentifica

9、tionresultisfeedbackedIntheprocessoftheidentification;thelargeradaptivegainischosentoidentifytheparameterquickly;whentheresultofidentificationissteadythesmalleradaptivegainischoosenThentheimprovedidentificationalgorithms

10、iSusedtoidentifyPMSMmomentofinertia。thesimulationandexperimentsshowthattheimprovedalgorithmsarefreefromfluctuation,theidentificationsaremorequicklyandhighprecisionFinally,themodelsoftheimprovedalgorithmsareestablishedwit

11、htheSystemGeneratorandgivegoodvalidationfortheproposedalgorithmsTheseworksbuiltthefoundationofthehardwarerealizationbasedontheFPGAKeywords:PermanentMagnetSynchronousMotor(PMSM),fuzzyPIcontrollerparameteridentification,mo

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