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Topology Optimization of a Switched Reluctance Machine by Electromagnetic-Structural Multiphysics Finite Element Analysis

IEEE transactions on magnetics
Vibration and acoustic noise caused by electromagnetic forces (EMFs) limit the application of switched reluctance machines (SRMs). In this article, the topology optimization (TO) is introduced to the rotor design of SRMs for reducing the stator vibration
Zhen Sun   +3 more
semanticscholar   +1 more source

Switched Reluctance Motor Design Optimization: A Framework for Effective Machine Learning Algorithm Selection and Evaluation

IEEE Transportation Electrification Conference and Expo
This study employs various machine learning algorithms (MLAs) to map out the stator and rotor pole arc angles of 6/14 switched reluctance motor (SRM) and their static and dynamic nonlinear characteristics.
Mohamed Omar, Mohamed H. Bakr, Ali Emadi
semanticscholar   +1 more source

A Novel Structure of Switched Reluctance Machine With Higher Mean Torque and Lower Torque Ripple

IEEE transactions on energy conversion, 2020
Switched reluctance motors (SRMs) have a robust and simple structure, high reliability because of the absence of magnetic field source on rotor, low cost and simple cooling system. However, conventional SRMs confront with some challenges such as low mean
Gholamreza Davarpanah, J. Faiz
semanticscholar   +1 more source

Modelling and identification of switched reluctance machine inductance

Australian Journal of Electrical & Electronics Engineering, 2020
Identification of phase self-inductance is a central step in control and development of Switched Reluctance Machine (SRM) model because the voltage and torque equation are functions of the phase self-inductance.
A. Brouri   +4 more
semanticscholar   +1 more source

Advanced Technology of Switched Reluctance Machines in More Electric Aircraft: A Review

IEEE transactions on power electronics
With the increasing focus on sustainable development and environmental preservation, the aviation industry has been exploring innovative solutions, such as more electric aircraft (MEA), to shape the future of air transportation.
Lefei Ge   +6 more
semanticscholar   +1 more source

Design of a Low-Ripple Double-Modular-Stator Switched Reluctance Machine for Electric Vehicle Applications

IEEE Transactions on Transportation Electrification, 2021
Wenju Yan   +4 more
semanticscholar   +1 more source

Correction to: Recent Advances in Direct-Drive Power Take-Off (DDPTO) Systems for Wave Energy Converters Based on Switched Reluctance Machines (SRM)

2022
Marcos Blanco   +7 more
openaire   +1 more source

Identification of switched reluctance machine using fuzzy model

International Journal of System Assurance Engineering and Management, 2022
A. Ouannou   +3 more
semanticscholar   +1 more source

Model Predictive Torque Control of Switched Reluctance Machines With Torque Sharing Function and PWM Control Signals Based on Linear Polynomial Fitting

IEEE transactions on power electronics
In the combination of torque sharing function (TSF) and model predictive torque control (MPTC), the finite set prediction with only three evaluated switching states can not fully exploit the capability of MPTC.
Lefei Ge   +5 more
semanticscholar   +1 more source

Machine Learning Algorithms for Multi-objective Design Optimization of Switched Reluctance Motors (SRMs)

Switched Reluctance Motors (SRMs) are gaining recognition due to their robust design, cost-effectiveness, fault tolerance, and reliable high-speed performance, positioning them as promising alternatives to traditional electric motors. However, SRMs face high torque ripples, vibration, acoustic noise, and nonlinear modeling complexities. Through careful
openaire   +1 more source

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