Analysis and optimisation of an axial flux permanent magnet coreless motor based on the field model using the superposition principle and genetic algorithm
[ 1 ] Instytut Elektrotechniki i Elektroniki Przemysłowej, Wydział Elektryczny, Politechnika Poznańska | [ P ] employee
2016
scientific article
english
- axial flux permanent magnet motor
- biot-savart law
- finite element analysis
- magnetic fields
- superposition principle
- genetic algorithm
EN In the paper, methodologies for the magnetic field simulation in an axial flux permanent magnet coreless (AFPMC) motor have been proposed and discussed. Two approaches have been considered and investigated, both based on representing the 3D field distribution by superimposing axisymmetric 2D patterns. The first of studied approaches applies directly to the Biot-Savart law while the second uses a 2D axisymmetric finite element method. The selected results of magnetic field distributions and electromagnetic torque characteristics for the considered AFPMC motor have been presented and compared with results obtained using the commercial FEM package 'Maxwell'. The elaborated algorithms have been incorporated into the design routines allowing multi-parameter optimisation of the considered motor construction.
601 - 611
CC BY-NC-ND (attribution - noncommercial - no derivatives)
open journal
final published version
public
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