基于反饋線性化的高溫超導(dǎo)與常導(dǎo)混合EMS懸浮控制問題研究.pdf

1、西南交通大學(xué)碩士學(xué)位論文基于反饋線性化的高溫超導(dǎo)與常導(dǎo)混合EMS懸浮控制問題研究姓名：王慧玲申請學(xué)位級別：碩士專業(yè)：電工理論與新技術(shù)指導(dǎo)教師：王莉20100501西南交通大學(xué)碩士研究生學(xué)位論文第1T頁AbstractThetechnologyofMagneticsuspensioncontrolisoneofthekeytechnologiesofEMSmaglevtrainTheperformanceofmagneticsuspens

2、ioniSdeterminedmainlybyitscontrolsystemTherefore，ithasgreatsignificancetostudycontrolmethodofsuspensionsystemAimingatthenonlinearizationproblemsofsuspensionsystemofhybridelectromagnetsmadeofhightemperaturesuperconductora

3、ndnormalconductorcoilThetraditionalcontrolmethodusingTalorexpansionneartheequilibriumpoint，obtainingtheapproximatelinearmodel，butthesuspensionsystemdeviatesfromtheequilibriumpointwillaffectthesuspensionsystemstabilityUsi

4、ngfeedbacklinearizatiOntechniquesthenthemodelislinearizedbymeansoffeedbacklinearizationandanequivalentlinearmodelisobtainedBasedonwhich，anonlinearContr011erisachievedThenonlinearmodelofhybridsuspensionsystemislinearizedb

5、yusingfeedbacklinearizationmethod，andthelinearcurrentcontrolmodelwasobtainedinthispaperThen，classicalcontrolstrategy—linearstatefeedbackcontrolisadoptedtodesignthecontrollerthatisvalidatedinmagneticlevitationsystemAccord

6、ingtodynamicperformance，thecontrolparametersaredesignedThiscontrolmethodcomparedwithlinearmodelfoundbyexpandingthenonlinearsystemmodel，obtainingtheadvantagesanddisadVantagesbetweenthetwocontrolmethodsIntroducethemodernco

7、ntroltechnology—variablestructurecontrolmethod，switchfunctionisconstructed，thenaslidingmodelcontrollerwithintegralslidingsurfacebasedonfeedbacklinearizationisdesignedSimulationresultsshowthatslidingmodelcontrollercanover

8、cometheuncertaintyofsystemmodel，theclosedloopSystemisrobustandinsensitivetochangeofparametersIntheanalysisofthehybridsuspensionsystem，studytheprinciplesofEMSwithpurehigh—temperaturesuperconductingUsingthesamemethodtoesta

9、blishasecondorderlinearmodelwithCOil’ScurrentastheinputSimulationshowthatnonlinearcontrollerbasedonfeedback1inearizationmethodhasagoodrobustnesSKeywords：hybridsuspension；equilibriumpoint；nonlinear；feedbacklinearization：s