LAPSE:2023.32199
Published Article
LAPSE:2023.32199
Minimum Set of Rotor Parameters for Synchronous Reluctance Machine and Improved Optimization Convergence via Forced Rotor Barrier Feasibility
April 20, 2023
Although rare earth materials are the critical component in high torque density permanent magnet machines, their use has historically been a commercial risk. The alternatives that have been in the recent industry focus are synchronous reluctance machines (SyRM). They have lower torque density but also relatively low material cost and higher overload capability. Multi-layer IPM and SyRM machines have significant geometric complexity, resulting in a high number of parameters. Considering that modern machine design requires the use of optimization algorithms with computational load proportional to the number of parameters, the whole design process can take several days. This paper presents novel SyRM parameterization with reduced number of parameters. Furthermore, the paper introduces the novel forced feasibility concept, applied on rotor barrier parameters, resulting in improved optimization convergence with overall optimization time reduced by 12.3%. Proposed approaches were demonstrated using optimization procedure based on the existing differential evolution algorithm (DE) framework.
Keywords
comparison, design, differential-evolution, electric, electric machine, forced feasibility, Optimization, rare-earth free, synchronous reluctance
Subject
Suggested Citation
Ban B, Stipetic S, Jercic T. Minimum Set of Rotor Parameters for Synchronous Reluctance Machine and Improved Optimization Convergence via Forced Rotor Barrier Feasibility. (2023). LAPSE:2023.32199
Author Affiliations
Ban B: Faculty of Electrical Engineering and Computing (FER), Department of Electric Machines, Drives and Automation, University of Zagreb, Unska 3, 10000 Zagreb, Croatia [ORCID]
Stipetic S: Faculty of Electrical Engineering and Computing (FER), Department of Electric Machines, Drives and Automation, University of Zagreb, Unska 3, 10000 Zagreb, Croatia [ORCID]
Jercic T: Cognitio Elektronika, Bani ul. 73A, 10010 Zagreb, Croatia
Journal Name
Energies
Volume
14
Issue
10
First Page
2744
Year
2021
Publication Date
2021-05-11
Published Version
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en14102744, Publication Type: Journal Article
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LAPSE:2023.32199
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doi:10.3390/en14102744
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Apr 20, 2023
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CC BY 4.0
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