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ID:36575281
大小:2.57 MB
页数:68页
时间:2019-05-12
《基于模型的动态系统鲁棒故障诊断研究》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、江南大学硕士学位论文基于模型的动态系统鲁棒故障诊断研究姓名:张宁申请学位级别:硕士专业:检测技术与自动化装置指导教师:丁锋20080301AbstractWiththedevelopmentoftechnologyandtheimprovementofproductivity,moderncontrolsystemsarebecominglargerandmorecomplicated.Thepossibilityoffaultarisinginsystemsisalsoincreasing.Inor
2、dertoimprovethereliabilityandsecurityofthesystems,itisurgenttobuildamonitoringsystem.Themonitoringsystemisusedtomonitorthesystemstates,todetectthefaultinsystemintime,toanalyzeandjudgethereasonandcharacteristicsofthefault,andtotakethemeasurestoavoidcatas
3、trophicaccident.Faultdetectionanddiagnosis(FDD)algorithmsandtheirapplicationshavebeenattractedmuchattentionoverthepastthirtyyears.Model-basedfaultdiagnosistheoryWasdevelopedintheearly1970sin20thcenturyandalargeamountofnaturetheoreticalknowledgeonmodel—b
4、asedfaultdiagnosishasbeenaCCU-mulatedduringthepastthreedecades,suchasparameterestimationapproach,unknowninputobserverapproach,eigenstructureassignmentapproach,parityspace(relation)approach,日∞optimizationapproach,strongtrackingfilteringapproachanddiffere
5、ntialgeometryapproachetc.ThisthesisisbasedOiltheProject“StudyofModellingandIdentificationofaClassofNonlinearSystems(TheNationalNatureScienceFoundationofChina)”,andfaultdiagnosisforcontrolsystembasedonmodeliSinvestigated.Themainresultsareasfollows:1.Thel
6、atestdevelopmentoffaultdetectionanddiagnosisisbrieflyintroduced.Thebasicfaultdiagnosisapproachbasedonobserversforlinearcontrolsystemsisdiscussed,includingthebasictheoryoftheapproachofunknowninputobserverandfaultdetectionfilter.2.Secondly,abilinearfaultd
7、etectionfilter(BFDF)isproposedforabilinearsystemwithanuncertainoutput.SufficientconditionsaregivenfortheexistenceofaBFDFandthedesignprocedureofBFDFispresented。Afaultreconstructionapproachbasedonequivalentcontrolforthedirectionoftheresidualisstudied.Byus
8、ingtheequivalentcontrolandnottheresidualtoreconstructthefaultsignal,thefaultcanbedetected.3.Thirdly,thefaultdiagnosisproblemforaclassofnonlinearsystemswithuncertaintywhichdependsonstates,inputsandunknownparametersisdiscussed.Byus
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