Paper
29 November 2021 Numerical study of uniform demagnetization of surface permanent magnet synchronous motor
Yue Pan, Yinquan Yu
Author Affiliations +
Proceedings Volume 12080, 4th International Symposium on Power Electronics and Control Engineering (ISPECE 2021); 120800L (2021) https://doi.org/10.1117/12.2620916
Event: 4th International Symposium on Power Electronics and Control Engineering (ISPECE 2021), 2021, Nanchang, China
Abstract
The permanent magnet synchronous motor (PMSM) has the advantages of high torque and no pollution due to its unique permanent magnet (PM) structure. Compared with other motors, PMSMs have a wider range of application scenarios. However, demagnetization failures will occur during the use of PMSMs. As a result, it is important to investigate the change in the PMSMs internal magnetic field characteristic amount when the demagnetization fault occurs in order to determine if the PMSM is working normally. It provides theoretical support for the PMSM demagnetization fault analysis by analyzing the difference between the health and demagnetization of the PMSM, and then summarizing the difference between the characteristic signal of the PMSM during normal and demagnetization. This work conducts a numerical study on PMSM using the finite element analysis method, simulating the demagnetization model of PMSM by varying the residual magnetic induction strength of PM. Calculate and compare the back electromotive force (Back-EMF) and radial flux density under the conditions of 20%, 40%, and 60% PMSM health and demagnetization, respectively, then apply the Fast Fourier Transform (FFT) to the Back-EMF. The results demonstrate that the degree of demagnetization of a PMSM may be determined by measuring the radial flux density and the harmonic amplitude of the Back-EMF.
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Yue Pan and Yinquan Yu "Numerical study of uniform demagnetization of surface permanent magnet synchronous motor", Proc. SPIE 12080, 4th International Symposium on Power Electronics and Control Engineering (ISPECE 2021), 120800L (29 November 2021); https://doi.org/10.1117/12.2620916
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KEYWORDS
Magnetism

Finite element methods

Surgery

Fourier transforms

Manufacturing

Manufacturing equipment

Medical equipment

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