Minimum Set of Rotor Parameters for Synchronous Reluctance Machine and Improved Optimization Convergence via Forced Rotor Barrier Feasibility

Branko Ban, Stjepan Stipetic and Tino Jercic
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Branko Ban: Faculty of Electrical Engineering and Computing (FER), Department of Electric Machines, Drives and Automation, University of Zagreb, Unska 3, 10000 Zagreb, Croatia
Stjepan Stipetic: Faculty of Electrical Engineering and Computing (FER), Department of Electric Machines, Drives and Automation, University of Zagreb, Unska 3, 10000 Zagreb, Croatia
Tino Jercic: Cognitio Elektronika, Bani ul. 73A, 10010 Zagreb, Croatia

Energies, 2021, vol. 14, issue 10, 1-16

Abstract: 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: electric machine; synchronous reluctance; optimization; comparison; differential-evolution; design; electric; rare-earth free; forced feasibility (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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