摘要
Accuratemodelidentificationandfaultdetectionarenecessaryforreliablemotorcontrol.Motor-characterizingparametersexperiencesubstantialchangesduetoaging,motoroperatingconditions,andfaults.Consequently,motorparametersmustbeestimatedaccuratelyandreliablyduringoperation.Basedonenhancedmodelstructuresofelectricmotorsthataccommodatebothnormalandfaultymodes,thispaperintroducesbias-correctedleast-squares(LS)estimationalgorithmsthatincorporatefunctionsforcorrectingestimationbias,forgettingfactorsforcapturingsuddenfaults,andrecursivestructuresforefficientreal-timeimplementation.Permanentmagnetmotorsareusedasabenchmarktypeforconcretealgorithmdevelopmentandevaluation.Algorithmsarepresented,theirpropertiesareestablished,andtheiraccuracyandrobustnessareevaluatedbysimulationcasestudiesunderbothnormaloperationsandinter-turnwindingfaults.Implementationissuesfromdifferentmotorcontrolschemesarealsodiscussed.
出版日期
2014年02月12日（中国期刊网平台首次上网日期，不代表论文的发表时间）
