pp. 3727-3738
S&M3072 Technical Paper https://doi.org/10.18494/SAM4009 Published: October 5, 2022 Adaptive-wavelet-filtering-based Stator Current Zero-crossing Detection Method for High-Speed Micromotor [PDF] Zhang Chengbo, Cui Yuguo, Li Jin-bang, Liu Xiaoming, Liu Kai, and Lou Zhiwei (Received July 6, 2022; Accepted August 26, 2022) Keywords: high-speed micromotor, speed measurement, stator current method, adaptive wavelet denoising, zero-crossing detection
The speed measurement of a high-speed micromotor often requires speed sensors, increasing the complexity and cost of the system. To solve this problem, a high-speed micromotor measurement method without a position sensor is proposed in this paper. A current probe is used to obtain the current signal of the high-speed micromotor. The collected signal is processed by adaptive wavelet filtering for noise reduction, and zero-crossing detection is used to calculate the frequency of the signal after noise reduction, so as to calculate the motor speed in real time. A photoelectric optical fiber sensor is used to verify the accuracy of motor speed measurement results. The results show that the difference between the speed measured by proposed method and the speed measured by the photoelectric optical fiber sensor is only 0.4%. This method is expected to be widely applied in the fields of motor performance detection and motor fault diagnosis.
Corresponding author: Cui YuguoThis work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Zhang Chengbo, Cui Yuguo, Li Jin-bang, Liu Xiaoming, Liu Kai, and Lou Zhiwei, Adaptive-wavelet-filtering-based Stator Current Zero-crossing Detection Method for High-Speed Micromotor, Sens. Mater., Vol. 34, No. 10, 2022, p. 3727-3738. |