Intelligent Optimization of Switched Reluctance Motor Using Genetic Aggregation Response Surface and Multi-Objective Genetic Algorithm for Improved Performance

Intelligent Optimization of Switched Reluctance Motor Using Genetic Aggregation Response Surface and Multi-Objective Genetic Algorithm for Improved Performance

In this paper, a thorough framework for multiobjective design optimization of switched reluctance motor (SRM) is proposed. Selection of stator and rotor pole embrace coefficients is an essential step in the SRM design process since it influences torque output and torque ripple in SRM. The problem of...

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Bibliographic Details
Main Authors: Chiweta Emmanuel Abunike, Ogbonnaya Inya Okoro, Sumeet S. Aphale
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Energies
Subjects:
efficiency
genetic aggregation response surface
genetic algorithm
pole embrace coefficients
switched reluctance motor
torque ripple
Online Access:https://www.mdpi.com/1996-1073/15/16/6086

Internet

https://www.mdpi.com/1996-1073/15/16/6086

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