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dc.contributor.authorTing, Chia-Minen_US
dc.contributor.authorChou, Hsin-Hungen_US
dc.contributor.authorCheng, Stoneen_US
dc.date.accessioned2018-08-21T05:57:03Z-
dc.date.available2018-08-21T05:57:03Z-
dc.date.issued2017-01-01en_US
dc.identifier.urihttp://hdl.handle.net/11536/146984-
dc.description.abstractThis paper addresses the problem of nonlinear dynamic of system parameters to specify the design of adaptive parameters identification algorithm with respect to a globally converged feedback control of permanent magnet synchronous motor drives. In this paper, synchronization of separated physical and analytical system of similar dynamic structures is proposed for solving online parameter estimation for nonlinear permanent magnet synchronous motors (PMSM) models. The Lyapunov function analysis is used to assure the convergence of the proposed system performance. Simulations are presented and discussed to validate the proposed identification method. The results demonstrate that the proposed method can achieve more accurate parameter identification.en_US
dc.language.isoen_USen_US
dc.subjectpermanent magnet synchronous motors (PMSM)en_US
dc.subjectadaptive identificationen_US
dc.subjectstabilityen_US
dc.titleAdaptive on-line parameters identification of nonlinear behavior in vector-controlled permanent magnet synchronous motorsen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2017 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (ICMA)en_US
dc.citation.spage1384en_US
dc.citation.epage1389en_US
dc.contributor.department機械工程學系zh_TW
dc.contributor.departmentDepartment of Mechanical Engineeringen_US
dc.identifier.wosnumberWOS:000426271700242en_US
Appears in Collections:Conferences Paper