基于观测器的故障诊断方法及应用分析

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1、ABSTRACTCombinedwiththesliding-modeobserverandunknowninputobserverrelatedtheories,thethesisfocusesontheexistingproblemsinthefieldoffaultdetectionanddiagnosistechnologyandsystematicallystudiesnon-linearfaultdetectionanddiagnosisalgorithmintheindustryfromtheaspectsofimprovingthe

2、robustnessofthefaultdiagnosisabilityandthefaultdetectionofinductionmotorsystem.Themajorcontentscanbesummarizedasfollows:First,brieflydescribed&analyzedtheslide-modetheory.Followingarethreeclassicaldesigncasesfromwhichthegenerallinearsystem,thelinearsystemwithuncertaintiesandth

3、esliding-modeobservermethodareintroduced・Basedontheabove,theconvergenceexamineonmorecommontrianglenonlinearsystemobserverusedinprojectismade・Second,thethesisresearchesthefaultdiagnosisofthenonlinearsystemwhichpartiallysatisfiesLipschitzconditionandtransferthesensorfailureintop

4、seudoactuatorfaultbyintroducingnewstatevariables.Then,slidingodeobserverisdesignedinaccordaneewitheachkindoffaultmodeltorealizemultiplesensorfailuredetectionandisolation.Effectivenessoftheproposedmethodisprovedbyexperimentsofthesingle-linkroboticarm.Finally,theunknowninputobse

5、rvertheoryandthed-qmathematicalmodelofinductionmotortwophasesynchronizationarediscussed&analyzedandcurrentsensorfaultmodelhasformed.Sincemathematicalmodelofinductionmotor,aninductionmotorfaultcurrentsensordesignmethodofrobustobserverisproposedbasedonthethoughtsofunknowninputob

6、serverandLuenbergerobserve匚Asimulationexperimentresultshasdemonstratedthecorrectnessandeffectivenessoftheproposedmethod・Throughthesimulationexamplesandalargenumberofexperimentalresults,itindicatesthatthefaultdiagnosismethodbasedonsliding-modeobserverandunknowninputobservernoto

7、nlyrobustnesstheexternaldisturbancesbutalsoreducestherateofreporterrorandimprovethesensitivityofthefaultdiagnosis,whichhasapracticalvalueaswellasrealisticmeaning.KeyWords:Non-linearsystem,Stateobserver,Inductionmotor,Faultdiagnosis,Asingle-linkroboticarmin目录摘要IABSTRACTII第一章绪论1

8、1.1课题研究的背景及意义11.2故障诊断技术研究综述21.2.1故障及其分类21.2.2故障诊断的基本方法31.2.2.