Affiliations: [a] Faculty of Electrical Engineering and Information
Technologies, Ss. Cyril and Methodius University, Skopje, Macedonia | University of Pavia, Pavia, Italy | Łódź University of Technology, Łódź, Poland
Correspondence:
[*]
Corresponding author: Goga Cvetkovski, Faculty of Electrical
Engineering and Information Technologies, Ss. Cyril and Methodius University,
Rugjer Boskovic bb, P.O. Box 574, 1000 Skopje, Macedonia. E-mail:
gogacvet@feit.ukim.edu.mk
Abstract: The minimization of the torque ripple in permanent magnet
synchronous motors (PMSM) is generally achieved by a special motor design which
in the design process involves a variation of many geometrical motor
parameters. In this paper a new approach is introduced where genetic algorithm
is used as an optimization tool where the maximum value of the cogging torque
is used as an objective function. Therefore a proper mathematical presentation
of the cogging torque for the analyzed synchronous motor is developed. Finally
the initial motor and the optimized motor model are modeled in FEMM software
which is based on finite element method. The cogging torque is analytically and
numerically calculated and the results for both models are presented.
