Multi-objective optimization of an axial-flux PM actuator with space mapping technique

Author

Hassan, Mai H. ; Krebs, G. ; Remy, Guillaume ; Marchand, Claude

Author_Institution

Lab. de Genie Electr. de Paris (LGEP), Univ. Pierre et Marie Curie - Paris 6, Gif-sur-Yvette, France

fYear

2014

fDate

March 31 2014-April 1 2014

Firstpage

1

Lastpage

2

Abstract

This paper presents a quick and reliable methodology for machine design. The methodology is based on Magnetic Equivalent Circuit (MEC) and multi-level, multi-objective optimization. It is applied to design three phase axial flux actuator. The MEC is solved by computing meshes´ magnetic flux. It allows taking into account nonlinear operating conditions and its network topology is generated automatically for each rotor position. Multilevel optimization is achieved by means of Space Mapping (SM) method in order to couple linear and non-linear models. Multi-objective optimization problem is solved by means of NSGA-II. This methodology combines final solution accuracy and fast computation/simulation time.

Keywords

equivalent circuits; genetic algorithms; iterative methods; magnetic actuators; magnetic flux; mesh generation; permanent magnet motors; rotors; MEC; NSGA-II; axial-flux PM actuator; iterative optimization method; linear models; machine design; magnetic equivalent circuit; mesh magnetic flux computation; multilevel optimization; multiobjective optimization problem; network topology; nonlinear models; nonlinear operating conditions; rotor position; space mapping technique; three phase axial flux actuator; AFPMSA; Automotive application; Design methodology; Optimization methods;

fLanguage

English

Publisher

iet

Conference_Titel

Computation in Electromagnetics (CEM 2014), 9th IET International Conference on

Conference_Location

London

Electronic_ISBN

978-1-84919-817-2

Type

conf

DOI

10.1049/cp.2014.0227

Filename

6826856