Shape optimization of synchronous machine rotor
Résumé
This paper describes a shape optimization of a synchronous machine rotor to reduce torque ripples. The procedure of optimization is based on coupling a finite element 2D software and a genetic algorithm. One of the most important criteria for minimizing the torque ripple is the distribution of the flux density in the airgap of the machine. Therefore, in the first investigations, we search to minimize the harmonics' rate of the flux density. The field analysis is done through the finite element method. Simplifying assumptions, involving material characteristic and geometrical domains, are made in order to limit computational time. Different objective functions (taking into account flux density harmonics) used by the genetic algorithm for the optimization and different strategies of evolution are tested and some results are presented. One of these is used to calculate torque ripples by the finite element method. This result is compared with the initial torque and shows the improvement on the torque ripple.