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dc.contributor.authorChen, Y.-
dc.contributor.authorZhou, F.-
dc.contributor.authorLiu, X.-
dc.contributor.authorHu, E.-
dc.identifier.citationInternational Journal of Electronics, 2015; 102(7):1132-1150-
dc.description.abstractThis paper presents a method of online identification of the parameters of permanent magnet synchronous motors (PMSM) by model reference adaptive identification based on Popov Super Stability Theory. Firstly, the relations of parameters in the Field Orientation Control (FOC) system are analysed. Secondly, the proposed identification method of PMSM concerns two parts. In the case of high-speed operation of the motor, the method can accurately identify the inductance in dq-axis and the permanent magnet (PM) flux linkage. On the other hand, in the case of low speed, it can accurately identify the winding resistance of the stator. The method does not require additional excitation signals, but only makes use of motor voltage, current and their deviations. Thirdly, a simple and effective dead-time compensation method has been applied to inhibit the dead-time effects on the parameter identification. At last, the simulation and experiment results clearly demonstrate the validity and feasibility of the method.-
dc.description.statementofresponsibilityYong Chen, Fu Zhou, Xia Liu, and Eric Hu-
dc.publisherTaylor and Francis-
dc.rights© 2014 Taylor & Francis-
dc.subjectdead-time compensation-
dc.subjectmodel reference adaptive system identification-
dc.subjectPopov Super Stability Theory-
dc.titleOnline adaptive parameter identification of PMSM based on the dead-time compensation-
dc.typeJournal article-
dc.identifier.orcidHu, E. [0000-0002-7390-0961]-
Appears in Collections:Aurora harvest 7
Mechanical Engineering publications

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