Cogging Torque Suppression of Modular Permanent Magnet Machines Using a Semi-Analytical Approach and Artificial Intelligence

Cogging Torque Suppression of Modular Permanent Magnet Machines Using a Semi-Analytical Approach and Artificial Intelligence

The cogging torque of permanent magnet machines with a modular stator is affected by additional harmonic components due to the segmentation of the stator lamination. This paper proposes a novel approach based on the shaping of the stator tooth tips with sinusoidal profiles to minimize the cogging to...

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Bibliographic Details
Main Authors: Elia Brescia, Marco Palmieri, Paolo R. Massenio, Giuseppe L. Cascella, Francesco Cupertino
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Artificial neural networks
cogging torque
finite-element analysis
genetic algorithm
modular stators
permanent magnet synchronous motors
Online Access:https://ieeexplore.ieee.org/document/10102477/

Internet

https://ieeexplore.ieee.org/document/10102477/

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