基于FPGA的永磁同步電機(jī)參數(shù)辨識(shí)的研究.pdf

1、江南大學(xué)碩士學(xué)位論文基于FPGA的永磁同步電機(jī)參數(shù)辨識(shí)的研究姓名：劉永欽申請(qǐng)學(xué)位級(jí)別：碩士專業(yè)：電力電子與電力傳動(dòng)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