Multiobjective Geometry Optimization of a SPMSM Using an Evolutionary Algorithm
Date issued
2013
Journal Title
Journal ISSN
Volume Title
Publisher
University of West Bohemia
Abstract
This paper presents a methodology for the
optimization of a Surface mounted Permanent Magnet
Synchronous Motor (SPMSM) with 4 poles and 24 slots. In
particular, it is focused on a multiobjective optimization using
a genetic algorithm developed in Matlab with Optimization
Toolbox that is coupled with Maxwell 14. The first one has
been used for the optimization and the post-processing of the
data, the second one for the Finite Element (FE) analysis and
for the geometry creation. Aim of the optimization was to
maximize the nominal torque and minimize the mass of a
motor.
Description
Subject(s)
synchronní motory s permanentními magnety, geometrická optimalizace, evoluční algoritmy, Paretova fronta
Citation
ISTET 2013: International Symposiumon Theoretical Electrical Engineering: 24th – 26th June 2013: Pilsen, Czech Republic, p. IV-51-IV-52.