Optimal solution of PM synchronous motor obtained by gravitational search algorithm

Issue title: Electromagnetic Fields in Mechatronics, Computer Sciences, Electrical and Electronic Engineering

Guest editors: Sławomir Wiak, Paolo Di Barba and Evelina Mognaschi

Article type: Research Article

Authors: Cvetkovski, Goga^a; | Petkovska, Lidija^a

Affiliations: [a] Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University, Skopje, North Macedonia

Correspondence: [*] Corresponding author: Goga Cvetkovski, Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University, Rugjer Bošković 18, P.O. Box 574, 1000 Skopje, North Macedonia. E-mail: gogacvet@feit.ukim.edu.mk

Abstract: This paper presents a novel approach to the efficiency improvement of permanent magnet synchronous motor using gravitational search algorithm as an optimization tool. The gravitational search algorithm (GSA) is a recently developed meta-heuristic optimization algorithm, which so far has proven to be quite suitable for solving power engineering optimization problems. The aim of this research work is to implement this novel optimization algorithm for the efficiency improvement of permanent magnet synchronous motor, where the objective function in the optimization process is the efficiency of the investigated motor. Comparative analysis of the initial and a number of optimized solutions of the motor model is performed.

Keywords: Permanent magnet synchronous motor, efficiency, optimization, optimal design, gravitational search algorithm

DOI: 10.3233/JAE-210178

Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 69, no. 2, pp. 149-167, 2022