Advanced Design Optimization of Switched Reluctance Motors for Torque Improvement Using Supervised Learning Algorithm
Author:
Affiliation:
1. Department of Electric and Computer Engineering, McMaster University, Hamilton, ON, Canada
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10298232.pdf?arnumber=10298232
Reference24 articles.
1. Switched Reluctance Motor Drives
2. Design Methodology for High-Performance Segmented Rotor Switched Reluctance Motors
3. Geometry and Topology Optimization of Switched Reluctance Machines: A Review
4. Optimum Design of Rotor for High-Speed Switched Reluctance Motor Using Level Set Method
5. Optimum geometry for torque ripple minimization of switched reluctance motors
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1. Active Magnetic Gear Based on a Dual-Rotor Switched Reluctance Machine;2024 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM);2024-06-19
2. Switched Reluctance Motor Design Optimization: A Framework for Effective Machine Learning Algorithm Selection and Evaluation;2024 IEEE Transportation Electrification Conference and Expo (ITEC);2024-06-19
3. Estimation of equivalent thermal conductivity of impregnated slots in electric machines using Artificial Neural Network Surrogate Model;2024 IEEE Transportation Electrification Conference and Expo (ITEC);2024-06-19
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