Optimization of Switched Reluctance Machine Drives Using Multi-Task Learning Approach

Optimization of Switched Reluctance Machine Drives Using Multi-Task Learning Approach

One of the major challenges for controlling the drive of switched reluctance machines (SRMs) is to have a proper conduction angle with the working point of the motor. This is due to the non-linear relationship of the flux-linkage with the position of the rotor. The optimization problem in SRM motors...

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Bibliographic Details
Main Authors: Kasra Abolfathi, Mojtaba Babaei, Mohammad Tabrizian, Mohsen Alizadeh Bidgoli
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Alexandria Engineering Journal
Subjects:
Switched Reluctance Motor (SRM)
Torque ripple
Multi-objective optimization
Optimization
Multi-task learning
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S111001682200309X

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