An Ensemble Learning-Based Predictive Parameterization Approach for Permanent Magnet Synchronous Machines

An Ensemble Learning-Based Predictive Parameterization Approach for Permanent Magnet Synchronous Machines

Permanent Magnet Synchronous Machines (PMSMs) are extensively utilized for their ability to deliver accurate position control, and the equivalent circuit characteristics of these machines are essential in several applications, particularly in formulating the control strategy. The study introduces an...

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Bibliographic Details
Main Authors: Sema Nur Ipek, Nur Bekiroglu, Murat Taskiran
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Averaging voting
CFNN
decision tree
ensemble learning
LRNN
MLP
Online Access:https://ieeexplore.ieee.org/document/11021566/
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https://ieeexplore.ieee.org/document/11021566/

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