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Sensor fault detection algorithm for IPMSM control system

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dc.contributor.authorKim, Jihwan-
dc.contributor.authorJeon, Namju-
dc.contributor.authorLee, Hyeongcheol-
dc.contributor.authorJeong, Kiyun-
dc.date.accessioned2022-12-20T11:03:31Z-
dc.date.available2022-12-20T11:03:31Z-
dc.date.created2022-09-16-
dc.date.issued2010-11-
dc.identifier.issn0000-0000-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/173463-
dc.description.abstractThis paper presents a new sensor fault detection algorithm for interior permanent magnet synchronous motor (IPMSM) control system. In order to derive the fault detection algorithm, this paper introduces a linearized IPMSM model transferred from nonlinear IPMSM model by the input-output linearization first. The input-output linearization provides a nonlinear coordinate transformation which linearizes the system dynamic equations. Therefore the linearized IPMSM model which reflects nonlinear properties of the IPMSM can be obtained by applying the inputoutput linearization. Second, this paper presents a residual generator derived from the linearized IPMSM model by applying the parity equation approach. Finally, the effectiveness of the proposed fault detection algorithm is verified by the computer simulation using an IPMSM model programmed by MATLAB/Simulink.-
dc.language영어-
dc.language.isoen-
dc.publisherElectric Drive Transportation Association-
dc.titleSensor fault detection algorithm for IPMSM control system-
dc.typeArticle-
dc.contributor.affiliatedAuthorLee, Hyeongcheol-
dc.identifier.scopusid2-s2.0-84907420820-
dc.identifier.bibliographicCitationEVS 2010 - Sustainable Mobility Revolution: 25th World Battery, Hybrid and Fuel Cell Electric Vehicle Symposium and Exhibition-
dc.relation.isPartOfEVS 2010 - Sustainable Mobility Revolution: 25th World Battery, Hybrid and Fuel Cell Electric Vehicle Symposium and Exhibition-
dc.citation.titleEVS 2010 - Sustainable Mobility Revolution: 25th World Battery, Hybrid and Fuel Cell Electric Vehicle Symposium and Exhibition-
dc.type.rimsART-
dc.type.docTypeConference Paper-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordPlusComputer simulation-
dc.subject.keywordPlusControl systems-
dc.subject.keywordPlusElectric vehicles-
dc.subject.keywordPlusFault detection-
dc.subject.keywordPlusLinearization-
dc.subject.keywordPlusMathematical transformations-
dc.subject.keywordPlusPermanent magnets-
dc.subject.keywordPlusSignal detection-
dc.subject.keywordPlusSynchronous motors-
dc.subject.keywordPlusFault detection algorithm-
dc.subject.keywordPlusInput output linearization-
dc.subject.keywordPlusInterior permanent magnet synchronous motor-
dc.subject.keywordPlusNonlinear coordinate transformation-
dc.subject.keywordPlusNonlinear properties-
dc.subject.keywordPlusParity equation-
dc.subject.keywordPlusResidual generator-
dc.subject.keywordPlusSensor fault detection-
dc.subject.keywordPlusAlgorithms-
dc.subject.keywordAuthorInput-output linearization-
dc.subject.keywordAuthorInterior permanent magnet synchronous motor (IPMSM)-
dc.subject.keywordAuthorParity equation approach-
dc.subject.keywordAuthorSensor fault detection-
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