2024 : 4 : 14
Ali Jabbari

Ali Jabbari

Academic rank: Associate Professor
ORCID: https://orcid.org/0000-0003-2543-8423
Education: PhD.
ScopusId: 56324004100
Faculty: Engineering
Address: Arak University


Analytical Modeling of Magnetic Field Distribution in Inner Rotor Brushless Magnet Segmented Surface Inset Permanent Magnet Machines
2D Analytical Modeling, Segmented Permanent Magnet, Surface Inset DC Machine, Sub-Domain Method, Hyperbolic Functions.
Journal Iranian Journal of Electrical and Electronic Engineering
Researchers Ali Jabbari


Brushless permanent magnet surface inset machines are interested in industrial applications due to their high efficiency and power density. Magnet segmentation is a common technique in order to mitigate cogging torque and electromagnetic torque components in these machines. An accurate computation of magnetic vector potential is necessary in order to compute cogging torque, electromagnetic torque, back electromotive force and self/mutual inductance. A 2D analytical method for magnetic vector potential calculation in inner rotor brushless segmented surface inset permanent magnet machines is proposed in this paper. The analytical method is based on the resolution of Laplace and Poisson equations as well as Maxwell equation in a quasi- Cartesian polar coordinate by using sub-domain method. One of the main contributions of the paper is to derive an expression for the magnetic vector potential in the segmented PM region by using hyperbolic functions. The developed method is applied on the performance computation of two prototype surface inset magnet segmented motors with open circuit and on load conditions. The results of these models are validated through FEM method.