Mode Recognition and Fault Positioning of Permanent Magnet Demagnetization for PMSM

Caixia Gao, Yanjie Nie, Jikai Si, Ziyi Fu and Haichao Feng
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Caixia Gao: School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454000, China
Yanjie Nie: School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454000, China
Jikai Si: School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454000, China
Ziyi Fu: School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454000, China
Haichao Feng: School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454000, China

Energies, 2019, vol. 12, issue 9, 1-14

Abstract: This paper proposes a demagnetization fault detection, mode recognition, magnetic pole positioning, and degree evaluation method for permanent magnet synchronous motors. First, the analytical model of the single-coil no-load back electromotive force (EMF) of demagnetization fault for Permanent magnet synchronous motor (PMSM) arbitrary magnetic poles is established. In the analytical model, the single-coil no-load back EMF residual of the health state and the single magnetic pole sequential demagnetization fault are calculated and normalized. Model results are used as the fault sample database. Second, the energy interval database of the single-coil no-load back EMF residual with different numbers of magnetic pole demagnetization is established. Demagnetization fault detection and degree evaluation are performed by the real-time acquired amplitudes of the single-coil no-load back EMF residual. The number of demagnetization poles is determined by comparing the energy of the single-coil no-load back EMF residual with the energy interval database. Demagnetization mode recognition and magnetic pole positioning are realized by analyzing the correlation coefficients between normalized the single-coil no-load back EMF residual and the fault sample database. Finally, results of analysis of the finite element simulation validate the feasibility and effectiveness of the proposed method.

Keywords: Permanent magnet synchronous motor (PMSM); fault mode recognition; single-coil no-load back electromotive force (EMF); analytical model; correlation coefficient; fault sample database (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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