Optimal Design of Outer Rotor Switched Reluctance Machines for Direct Drive Rim Applications

Vandana Rallabandi, Jie Wu, Aaron M. Cramer, Dan M. Ionel, Ping Zhou

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

This paper discusses the optimal design of external rotor switched reluctance (SR) machines for direct drive applications. The machines considered for this study include SR motors with a higher number of rotor poles than stator teeth; machines employing a larger number of stator teeth than rotor poles, as well as machines with segmented rotor constructions. Differential evolution is utilized for the optimization, and two objectives, of mass and loss are considered. A comprehensive comparison of the mass, loss, and inverter VA rating required to meet target torque for all three studied machine was performed, in which, hundreds of candidate designs were analyzed. The calculations are also benchmarked with results from a prototype motor.

Original languageEnglish
Title of host publication2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018
Pages6104-6109
Number of pages6
ISBN (Electronic)9781479973118
DOIs
StatePublished - Dec 3 2018
Event10th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2018 - Portland, United States
Duration: Sep 23 2018Sep 27 2018

Publication series

Name2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018

Conference

Conference10th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2018
Country/TerritoryUnited States
CityPortland
Period9/23/189/27/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Funding

VI. ACKNOWLEDGMENT The support of ANSYS Inc. and University of Kentucky, the L. Stanley Pigman endowment and the SPARK program, is gratefully acknowledged.

FundersFunder number
ANSYS, Inc.
University of Kentucky

    Keywords

    • Direct drive
    • Inverter VA rating
    • Segmental rotor
    • Switched reluctance machines

    ASJC Scopus subject areas

    • Energy Engineering and Power Technology
    • Renewable Energy, Sustainability and the Environment
    • Control and Optimization
    • Computer Networks and Communications
    • Hardware and Architecture
    • Information Systems and Management

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