Optimization of a Synchronous Reluctance Motor Design Using Genetic Algorithm and On-Off Method

Conventional electric machines are subject to limitations such as symmetry in design, uniform distribution of material, and legacy manufacturing techniques. Advances in 3-D printing, the advent of new composite materials, and advanced computational facilities over the past few years have introduced...

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Bibliographic Details
Published inProceedings (IEEE International Electric Machines and Drives Conference. Online) pp. 667 - 672
Main Authors Mosammam, Behnam, Fahimi, Babak, Balsara, Poras
Format Conference Proceeding
LanguageEnglish
Published IEEE 18.05.2025
Subjects
Design Limitations
Electric Machines
Evolutionary Algorithms
Finite Element Analysis (FEA)
Genetic algorithms
Genetic Algorithms (GAs)
Geometry
Motors
On/Off Method
Rare-Earth-Free Motor Design
Refining
Reluctance motors
Robustness
Rotor Design Optimization
Rotors
Synchronous Reluctance Motor (SynRM)
Thermal factors
Three-dimensional printing
Torque
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ISSN2994-2950
DOI10.1109/IEMDC60492.2025.11061033

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Summary:Conventional electric machines are subject to limitations such as symmetry in design, uniform distribution of material, and legacy manufacturing techniques. Advances in 3-D printing, the advent of new composite materials, and advanced computational facilities over the past few years have introduced new opportunities that call for an rethinking design and optimization practices. These advancements enable the creation of complex machines with more efficient material usage, and better overall performance. This paper proposes an on/off magnetic optimization method for material distribution within a partitioned rotor structure and geometry for the rotor of a synchronous reluctance machine Evolutionary genetic algorithms have been used to find the best rotor geometry in terms of average torque.
ISSN:2994-2950
DOI:10.1109/IEMDC60492.2025.11061033