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Please use this identifier to cite or link to this item: https://doi.org/10.1109/PESC.2001.954364
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dc.titleSensorless rotor position estimation algorithm for switched reluctance motors using fuzzy logic
dc.contributor.authorWang, Z.
dc.contributor.authorCheok, A.D.
dc.contributor.authorWee, L.K.
dc.date.accessioned2014-06-19T03:27:23Z
dc.date.available2014-06-19T03:27:23Z
dc.date.issued2001
dc.identifier.citationWang, Z.,Cheok, A.D.,Wee, L.K. (2001). Sensorless rotor position estimation algorithm for switched reluctance motors using fuzzy logic. PESC Record - IEEE Annual Power Electronics Specialists Conference 3 : 1701-1706. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/PESC.2001.954364" target="_blank">https://doi.org/10.1109/PESC.2001.954364</a>
dc.identifier.isbn0780370678
dc.identifier.issn02759306
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/71752
dc.description.abstractA fuzzy logic based sensorless rotor position estimation scheme with high accuracy is described. An optimized fuzzy motor model with compact rules was used to calculate the rotor position from the current and and flux waveforms. A fuzzy logic based optimal phase selector and predictive filter were implemented to improve the estimation accuracy. The simulation and experimental results showed high accuracy.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/PESC.2001.954364
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/PESC.2001.954364
dc.description.sourcetitlePESC Record - IEEE Annual Power Electronics Specialists Conference
dc.description.volume3
dc.description.page1701-1706
dc.description.codenPRICD
dc.identifier.isiutNOT_IN_WOS
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