Combined FE and Particle Swarm algorithm for optimization of high speed PM synchronous machine

Purpose – The purpose of this paper is to optimize the stator slot geometry of a high-speed electrical machine, which is used as an assist for a turbocharger. Meanwhile, the suitability of the Particle Swarm algorithm for such a problem is to be tested. Design/methodology/approach – The starting poi...

Full description

Saved in:
Bibliographic Details
Published in:Compel 2015-03, Vol.34 (2), p.475-484
Main Authors: Belahcen, Anouar, Martin, Floran, Zaim, Mohammed El-Hadi, Dlala, Emad, Kolondzovski, Zlatko
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Automation
Bending stresses
Compressors
Cooling
Core loss
Design
Design optimization
Electrical & electronic engineering
Engineering
Engineering Sciences
Finite element analysis
Finite element method
Genetic algorithms
Geometry
Heuristic
Heuristics
High speed
Magnetic fields
Mathematical analysis
Numerical analysis
Optimization
Optimization algorithms
Stators
Superchargers
Synchronous machines
Temperature effects
Turbines
Turbochargers
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Purpose – The purpose of this paper is to optimize the stator slot geometry of a high-speed electrical machine, which is used as an assist for a turbocharger. Meanwhile, the suitability of the Particle Swarm algorithm for such a problem is to be tested. Design/methodology/approach – The starting point of the optimization is an existing design, for which the Particle Swarm algorithm is applied in conjunction with the transient time-stepping 2D finite element method. Findings – It is found that regardless of its stochastic nature, the Particle Swarm work well for the optimization of electrical machines. The optimized design resulted in an increase of the slot area and increase of the iron loss, which was compensated by a dramatic decrease in the Joule losses. Research limitations/implications – The optimization was concentrated on the stator design whereas the rotor dimensioning was carried out withing the compressor and turbine design. Originality/value – A turbocharger with electric assist is designed optimized and manufactured. The Particle Swarm algorithm is shown to be very stable.
ISSN:0332-1649
2054-5606
DOI:10.1108/COMPEL-07-2014-0168