Reducing torque ripple for switched reluctance motors by current reshaping neural network

Abstract The high torque ripple poses a limitation on the application of switched reluctance motors (SRMs). In this paper, a current reshaping neural network (CRNN) is proposed to mitigate the torque ripple. The principle of how current affects electromagnetic torque is analyzed bas the indirect tor...

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Bibliographic Details
Main Authors: Benqin Jing, Guofu Liang, Xuanju Dang, Yanjun Jiang
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-025-02228-z
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