NDLI: Inter-Turn Short Circuit Fault Diagnosis of PMSM

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Inter-Turn Short Circuit Fault Diagnosis of PMSM

Content Provider	MDPI
Author	Chen, Xinglong Qin, Peng Chen, Yongyi Zhao, Jianjian Li, Wenhao Mao, Yao Zhao, Tao
Copyright Year	2022
Description	Permanent Magnet Synchronous Motor (PMSM) is widely used due to its advantages of high power density, high efficiency and so on. In order to ensure the reliability of a PMSM system, it is extremely vital to accurately diagnose the incipient faults. In this paper, a variety of optimization algorithms are utilized to realize the diagnosis of the faulty position and severity of the inter-turn short-circuit (ITSC) fault, which is one of the most destructive and frequent faults in PMSM. Compared with the existing research results gained by particle swarm optimization algorithms, in this paper, the methods using other optimization algorithms incorporating genetic algorithm, whale optimization algorithm and stochastic parallel gradient descent algorithm (SPGD) can acquire more stable and precise results. In particular, the method based on SPGD can obtain the most desirable performance among the methods mentioned above; that is, the relative error of short-circuit turns ratio is approximately as low as 0.03%. In addition, in the case of asymmetric input three-phase voltage and with the adverse impact of high-order harmonics at different load moments, the fault diagnosis method based on SPGD still maintains relatively satisfactory properties. Finally, the verification on the actual PMSM platform demonstrates that the SPGD can still diagnose the faulty severity.
Starting Page	1576
e-ISSN	20799292
DOI	10.3390/electronics11101576
Journal	Electronics
Issue Number	10
Volume Number	11
Language	English
Publisher	MDPI
Publisher Date	2022-05-14
Access Restriction	Open
Subject Keyword	Electronics Industrial Engineering Permanent Magnet Synchronous Motor Fault Diagnosis Optimization Algorithm Stochastic Parallel Gradient Descent
Content Type	Text
Resource Type	Article

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