简介:Accuratemodelidentificationandfaultdetectionarenecessaryforreliablemotorcontrol.Motor-characterizingparametersexperiencesubstantialchangesduetoaging,motoroperatingconditions,andfaults.Consequently,motorparametersmustbeestimatedaccuratelyandreliablyduringoperation.Basedonenhancedmodelstructuresofelectricmotorsthataccommodatebothnormalandfaultymodes,thispaperintroducesbias-correctedleast-squares(LS)estimationalgorithmsthatincorporatefunctionsforcorrectingestimationbias,forgettingfactorsforcapturingsuddenfaults,andrecursivestructuresforefficientreal-timeimplementation.Permanentmagnetmotorsareusedasabenchmarktypeforconcretealgorithmdevelopmentandevaluation.Algorithmsarepresented,theirpropertiesareestablished,andtheiraccuracyandrobustnessareevaluatedbysimulationcasestudiesunderbothnormaloperationsandinter-turnwindingfaults.Implementationissuesfromdifferentmotorcontrolschemesarealsodiscussed.
简介:Ageneralizednon-stationarycurvesubdivision(GNSforshort)schemeofarbitraryorderk≥3withaparameterhasbeenproposedbyFangetal.inthepaper(FangMei-eetal.,CAGD,2010(27):720-733).IthasbeenprovedthattheproposedschemeoforderkgeneratesCk-2continuouscurvesfork≥4.Buttheproofofthesmoothnessinthispaperisuncompleted.Moreover,theC1-continuityofthethirdorderschemehasnotbeendiscussed.Forthisreason,inthispaper,weprovideafullcorrectedproofofthesmoothnessoftheGNSschemeoforderkfork≥3.
简介:TheseparationoftheLyapunovmatricesandsystemmatricesplaysanimportantrolewhenoneusesparameter-dependentLyapunovfunctionalhandlingsystemswithpolytopictypeuncertainties.Thedelay-dependentrobuststabilityproblemforsystemswithpolytopictypeuncertaintiesisdiscussedbyusingparameter-dependentLyapunovfunctional.ThederivativeterminthederivativeofLyapunovfunctionalisreservedandthefreeweightingmatricesareemployedtoexpresstherelationshipbetweenthetermsinthesystemequationsuchthattheLyapunovmatricesarenotinvolvedinanyproducttermswiththesystemmatrices.Inaddition,therelationshipsbetweenthetermsintheLeibnizNewtonformulaarealsodescribedbysomefreeweightingmatricesandsomedelay-dependentstabilityconditionsarederived.Numericalexamplesdemonstratethattheproposedcriteriaaremoreeffectivethanthepreviousresults.
简介:Thispaperdealswiththeproblemofrobuststabilityforcontinuous-timesingularsystemswithstatedelayandparameteruncertainty.Theuncertainsingularsystemswithdelayconsideredinthispaperareassumedtoberegularandimpulsefree.Bydecomposingthesystemsintoslowandfastsubsystems,arobustdelay-dependentasymptoticstabilitycriteriabasedonlinearmatrixinequalityisproposed,whichisderivedbyusingLyapunov-Krasovskiifunctionals,neithermodeltransformationnorboundingforcrosstermsisrequiredinthederivationofourdelay-dependentresult.Therobustdelay-dependentstabilitycriterionproposedinthispaperisasufficientcondition.Finally,numericalexamplesandMatlabsimulationareprovidedtoillustratetheeffectivenessoftheproposedmethod.
简介:这篇论文论述一个分析方法,基于MacCormack鈥檚技术,为在高速度的电路网络的分布式的参数元素的时间领域敏感的评估。敏感能从分布式的参数元素的电、物理的参数被计算。建议方法是时间空间discretization的一个直接数字的方法并且不要求复杂数学扣除过程。因此,编程序是很方便的这个方法。它能在线性或非线性的电路网络被用于一般传播线的敏感分析。建议方法是second-order-accurate。数字实验被介绍表明它的精确性和效率。关键词敏感分析-分布式的参数-Multiconductor传播线-高速度的电路网络-MacCormack方法花环DOU在1974出生了。他是在科技的南京大学的自动化的部门的一个博士候选人。他的研究兴趣在分布式的参数的控制系统。王志全在1939出生了。他是在科技的南京大学的自动化的部门的一个教授。主要在非线性的控制理论和申请,他的研究兴趣被散布参数控制系统和混乱控制理论和申请。
简介:Thequalityofskeletonsystemforthecheetahrobotgoeshandinhandwithitsbionicresultofitsshape,structureandfunctions.Inviewoftheskeletonsystemconstitutionandstructuralcharacteristicofthecheetah,theteamappliedstructuredesign,stimulationanalysisandparameteroptimizationtodevelopingthecheetahrobot.Inaddition,aftertheinventionofcheetahrobot'santeriorlumbarvertebrabasedonitsfunctionalattributeandconnectivityattribute,theSolidworksSimulationwasutilizedtoanalyzethedesign,accordingtowhichimprovementonthelumbarvertebrawasmade.Plus,theadvantagesoftheCADandCAEmadethehighefficiencyofdesignworkandhighqualityofthecheetahrobotpossible.
简介:Mobileplatformisnowwidelyseenasapromisingmultimediaservicewithafavorableusergroupandmarketprospect.Tostudytheinfluenceofmobileterminalmodelsonthequalityofsceneroaming,aparametersettingplatformofmobileterminalmodelsisestablishedtoselecttheparameterselectionandperformanceindexondifferentmobileplatformsinthispaper.Thistestplatformisestablishedbasedonmodeloptimalityprinciple,analyzingtheperformancecurveofmobileterminalsindifferentscenemodelsandthendeducingtheexternalparameterofmodelestablishment.Simulationresultsprovethattheestablishedtestplatformisabletoanalyzetheparameterandperformancematchinglistofamobileterminalmodel.
简介:Thereportmainlystudiedthecrawlerframemotionplatformtoreduceweightandincreasetheintensity.ReportdescribedthestructuraldesignprocesswhichusingCAD/CAEtechnologyforsolidmodeling,simulationanalysis,parameteroptimization.AnditalsoexplainedtheoutstandingadvantagesofCAD/CAEtechnologyinmechanicaldesignaswellassimulationanalysis.
简介:与时间延期为不明确的分离时间的线性系统的一个类过滤的柔韧的H无穷;失踪的大小在这篇论文被学习。不明确的参数应当居住在凸的polytope;失踪的大小被一个二进制切换序列描述令人满意Bernoulli分布。我们的注意集中于分析;柔韧的H无穷过滤器的设计以便,为所有可被考虑的参数不确定性;所有可能的错过大小,过滤错误系统是有规定H无穷骚乱变细水平的指数地吝啬平方的马厩。一条参数依赖者途径被建议导出不太保守的结果。足够的条件以某些线性矩阵不平等(LMI)为需要的过滤器的存在被建立。当这些LMI是可行的时,需要的过滤器的明确的表情也被提供。最后,一个数字例子被举说明有效性;建议方法的适用性。