Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/892
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Electrical Engineering-
dc.creatorShi, K-
dc.creatorChan, TF-
dc.creatorWong, YK-
dc.creatorHo, SL-
dc.date.accessioned2014-12-11T08:28:33Z-
dc.date.available2014-12-11T08:28:33Z-
dc.identifier.issn0278-0046-
dc.identifier.urihttp://hdl.handle.net/10397/892-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rights© 2002 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_US
dc.rightsThis material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.en_US
dc.subjectGenetic algorithmen_US
dc.subjectInduction motoren_US
dc.subjectKalman filteren_US
dc.titleSpeed estimation of an induction motor drive using an optimized extended Kalman filteren_US
dc.typeJournal/Magazine Articleen_US
dc.description.otherinformationAuthor name used in this publication: K. L. Shien_US
dc.description.otherinformationAuthor name used in this publication: Y. K. Wongen_US
dc.description.otherinformationAuthor name used in this publication: S. L. Hoen_US
dc.identifier.spage124-
dc.identifier.epage133-
dc.identifier.volume49-
dc.identifier.issue1-
dc.identifier.doi10.1109/41.982256-
dcterms.abstractThis paper presents a novel method to achieve good performance of an extended Kalman filter (EKF) for speed estimation of an induction motor drive. A real-coded genetic algorithm (GA) is used to optimize the noise covariance and weight matrices of the EKF, thereby ensuring filter stability and accuracy in speed estimation. Simulation studies on a constant V/Hz controller and a field-oriented controller (FOC) under various operating conditions demonstrate the efficacy of the proposed method. The experimental system consists of a prototype digital-signal-processor-based FOC induction motor drive with hardware facilities for acquiring the speed, voltage, and current signals to a PC. Experiments comprising offline GA training and verification phases are presented to validate the performance of the optimized EKF.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIEEE transactions on industrial electronics, Feb. 2002, v. 49, no. 1, p. 124-133-
dcterms.isPartOfIEEE transactions on industrial electronics-
dcterms.issued2002-02-
dc.identifier.isiWOS:000173762400015-
dc.identifier.scopus2-s2.0-0036475886-
dc.identifier.eissn1557-9948-
dc.identifier.rosgroupidr09886-
dc.description.ros2001-2002 > Academic research: refereed > Publication in refereed journal-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
speed-estimation_02.pdf263.6 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

214
Last Week
1
Last month
Citations as of Mar 24, 2024

Downloads

996
Citations as of Mar 24, 2024

SCOPUSTM   
Citations

264
Last Week
0
Last month
1
Citations as of Mar 28, 2024

WEB OF SCIENCETM
Citations

193
Last Week
0
Last month
2
Citations as of Mar 28, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.