Geometry optimization for a class of switched-reluctance motors: A bi-objective approach

Article type: Research Article

Authors: Di Barba, Paolo^a | Mognaschi, Maria Evelina^{a; *} | Przybylski, Marek^b | Rezaei, Najmeh^a | Slusarek, Barbara^b | Wiak, Slawomir^c

Affiliations: [a] Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy | [b] Tele and Radio Research Institute, Warsaw, Poland | [c] Institute of Mechatronics and Information Systems, Łódz University of Technology, Łódz, Poland

Correspondence: [*] Corresponding author: Maria Evelina Mognaschi, Department of Electrical, Computer and Biomedical Engineering, University of Pavia, via Ferrata 5, 27100 Pavia, Italy. Tel.: +39 0382985785; Fax: +39 0382 422276; E-mail: eve.mognaschi@unipv.it.

Abstract: This study focuses on a class of a 3-phase Switched Reluctance Motor. The aim of the paper is to optimize torque and iron losses as a function of the geometry. To enhance the efficiency of the motor, a procedure of automated optimal design is adopted. Two materials are evaluated and compared: in particular, a Soft Magnetic Composite material might be a good alternative for rotor and stator cores instead of a laminated steel. The analysis model of the motor is based on 2D Finite Element Method (FEM) simulation, while the design optimization is based on evolutionary computing.

Keywords: Finite elements methods, multi-objective optimization, soft magnetic composite, switched reluctance motor

DOI: 10.3233/JAE-172282

Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 56, no. S1, pp. 107-122, 2018