基于Pearson相关性分析的双V型永磁同步电机失磁故障动态识别方法

doi:10.19595/j.cnki.1000-6753.tces.231722

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Abstract

With the gradual development of permanent magnet drive motors in the direction of high speed, high torque, and high power density, the risk of irreversible demagnetization of permanent magnets has increased dramatically. In addition, rotor poles combined with multiple permanent magnets are widely used, and spatial specificity exists in pole demagnetization of space-distributed permanent magnets due to the different arrangement positions. Therefore, real-time detection of special demagnetization faults for permanent magnet drive motors is crucial. Numerous scholars have proposed online diagnostic methods. However, these methods either have the cost increase caused by the stator coil modification, or the assumed demagnetization model of the permanent magnet is far from the actual. Hence, the online diagnostic methods for the demagnetization fault have yet to be verified by experiments. In this paper, taking a permanent magnet motor with an 8-pole 48-slot double V-type as an example, the influence of the closed magnetic circuit of the motor on the demagnetization fault of permanent magnets is considered.
Firstly, Assuming that the motor has good heat dissipation and ignores the axial temperature difference effect on the demagnetization of permanent magnets, the permanent magnet demagnetization caused by the armature reverse magnetic field is analyzed. Meanwhile, this paper establishes a high demagnetization rate motor model under different armature currents, considering the difference between the closed magnetic circuit inside the motor and the magnetic circuit outside the motor. Then, the motor's no-load and load parameters are analyzed. The Person correlation coefficient method extracts the characteristic parameters of permanent magnet motor demagnetization faults. The dynamic identification method of the demagnetization fault is established, and the armature current is introduced to correct this dynamic identification method. Finally, the simulation error of the dynamic identification method is calculated by establishing a new motor model with a high demagnetization rate, and the experimental error is calculated through two working condition experiments.
The following conclusions can be drawn. (1) Considering the influence of the closed magnetic circuit in the motor on the permanent magnet demagnetization makes the demagnetization model closer to the actual demagnetization condition of the permanent magnet. (2) The no-load parameters of the motor can be used as the characteristic parameters of the no-load demagnetization fault. The loss rate of torque and cross-axis inductance under load conditions is not affected by the current angle, which can be used as the characteristic parameters of the load demagnetization fault. (3) The simulation error of the dynamic identification method is 0.68%, and the experimental error is 1.765%.

Key words： Drive motor double V-shaped PMSM demagnetization fault Pearson correlation

Received: 16 October 2023

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TM351

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	Huang Kangjie
	Xiong Bin
	Cui Gang
	Li Zhenguo
	Bao Bingyan

Cite this article:

Huang Kangjie,Xiong Bin,Cui Gang等. Dynamic Identification Method of Demagnetization Fault of Double V-Shaped PMSM Based on Pearson Correlation Analysis[J]. Transactions of China Electrotechnical Society, 2024, 39(22): 7111-7125.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.231722 OR https://dgjsxb.ces-transaction.com/EN/Y2024/V39/I22/7111

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