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2026-03-13
Intelligent Harmonic Current Suppression Algorithm for Permanent Magnet Synchronous Motors in Industrial Servo Systems
By
Progress In Electromagnetics Research C, Vol. 167, 69-75, 2026
Abstract
A dual adaptive neural network-based harmonic compensation algorithm is proposed to improve the low-speed machining accuracy of permanent magnet synchronous motor (PMSM) drives. First, the mechanism of harmonic current generation and its influence on torque ripple and speed fluctuation in PMSMs is analyzed. Second, the structure of the dual adaptive neural network is designed: the first network is used to extract harmonic current components in real time, and the second network dynamically generates corresponding harmonic voltage compensation signals to suppress current distortion, with the advantages of fast dynamic response and high compensation accuracy. Finally, the proposed method is verified on an experimental platform. The experimental results show that the 6th harmonic amplitude is suppressed from 0.094 to 0.016, and the 12th harmonic amplitude is reduced from 0.025 to 0.004, which is significantly better than the traditional compensation method. The proposed algorithm effectively reduces torque ripple and speed fluctuations, thereby improving the control accuracy and machining performance of the PMSM drive system.
Citation
Xing Zhang, Lin Wang, Lihui Guo, Guanghui Zhu, Shibo Jin, and Yanyan Ye, "Intelligent Harmonic Current Suppression Algorithm for Permanent Magnet Synchronous Motors in Industrial Servo Systems," Progress In Electromagnetics Research C, Vol. 167, 69-75, 2026.
doi:10.2528/PIERC26010703
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