A Design Method for the Cogging Torque Minimization of Permanent Magnet Machines with a Segmented Stator Core Based on ANN Surrogate Models

A Design Method for the Cogging Torque Minimization of Permanent Magnet Machines with a Segmented Stator Core Based on ANN Surrogate Models

Permanent magnet machines with segmented stator cores are affected by additional harmonic components of the cogging torque which cannot be minimized by conventional methods adopted for one-piece stator machines. In this study, a novel approach is proposed to minimize the cogging torque of such machi...

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Bibliographic Details
Main Authors: Elia Brescia, Donatello Costantino, Paolo Roberto Massenio, Vito Giuseppe Monopoli, Francesco Cupertino, Giuseppe Leonardo Cascella
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Energies
Subjects:
artificial neural networks
cogging torque
finite element analysis
genetic algorithm
manufacturing tolerance
modular stator
Online Access:https://www.mdpi.com/1996-1073/14/7/1880

Internet

https://www.mdpi.com/1996-1073/14/7/1880

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