A Simple Recursive Least Squares Approach for Off-line Parameter Identification of FOC Permanent Magnet Synchronous Machine Drive

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dc.authorscopusid58070564000
dc.authorscopusid58070564100
dc.authorscopusid55780618800
dc.contributor.authorCalik,R.
dc.contributor.authorSimsek,R.O.
dc.contributor.authorKivanc,O.C.
dc.date.accessioned2024-05-25T12:34:40Z
dc.date.available2024-05-25T12:34:40Z
dc.date.issued2022
dc.departmentOkan Universityen_US
dc.department-tempCalik R., Power Electronics WAT Motor, RandD Department, Istanbul, Turkey; Simsek R.O., Power Electronics WAT Motor, RandD Department, Istanbul, Turkey; Kivanc O.C., Istanbul Okan University, Electrical and Electronics Engineering Department, Istanbul, Turkeyen_US
dc.descriptionBatman University and Batman Energy Coordination Center (EKOM)en_US
dc.description.abstractA simple and efficient parameter identification algorithm for a permanent magnet synchronous motor (PMSM) drive system is proposed using a recursive least square (RLS) algorithm without any additional sensor. Servo motor control system requires parameter identification due to aging, parameter changes, and mechanical components for driving the reliability and performance of PMSMs. Regarding industrial applications, model-based prediction algorithms are generally expected to be developed. The most important reason is that complex mathematical operations and advanced digital filters are unsuitable for low-cost processors. In this study, all motor parameters (stator resistance, stator inductance, flux linkage, viscous friction, and inertia) are identified using the RLS method as offline. The proposed parameter estimation method for PMSM has been implemented by using the RLS algorithm. Experimental results demonstrate the feasibility and effectiveness of the proposed method. © 2022 IEEE.en_US
dc.identifier.citation1
dc.identifier.doi10.1109/GEC55014.2022.9986582
dc.identifier.endpage344en_US
dc.identifier.isbn978-166549751-0
dc.identifier.scopus2-s2.0-85146497243
dc.identifier.startpage340en_US
dc.identifier.urihttps://doi.org/10.1109/GEC55014.2022.9986582
dc.identifier.urihttps://hdl.handle.net/20.500.14517/2602
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofIEEE Global Energy Conference, GEC 2022 -- 2022 IEEE Global Energy Conference, GEC 2022 -- 26 October 2022 through 29 October 2022 -- Batman -- 185674en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFOCen_US
dc.subjectindustrial servo drive systemsen_US
dc.subjectparameter identificationen_US
dc.subjectPMSMen_US
dc.subjectRLSen_US
dc.titleA Simple Recursive Least Squares Approach for Off-line Parameter Identification of FOC Permanent Magnet Synchronous Machine Driveen_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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