Subject: Electrical engineering, electronic engineering, information engineering
Year: 2004
Type: Conference or Workshop Item
Type: PeerReviewed
Title: Dynamic Evaluation of Shaded Pole Motor models by Using Method of Genetic Algorithm
Author: Sarac, Vasilija
Author: Petkovska, Lidija
Author: Cvetkovski, Goga
Abstract: In this paper, an extended analysis of three different models of a single phase shaded pole motor is carried out. starting with basic model and by using well established optimization method of Genetic algorithm (GA)two optimized motor models are derived. A special emphasis is put on development of appropriate models of the shaded pole motor for application of particular analysis method. The magnetic field analysis is based on Finite Element Method (FEM). The optimized motor models show improvements regarding the saturation of particular parts of magnetic core. The dynamic analysis of the motor is performed on the basis of dynamic characteristics determined by using Matlab/Simulink Method (MSM). Form this analysis, the shaded pole motor basic model and two new derived optimized models are discussed and evaluated.
Publisher:
Relation: https://eprints.ugd.edu.mk/10250/
Identifier: oai:eprints.ugd.edu.mk:10250
Identifier: https://eprints.ugd.edu.mk/10250/1/ACEMP-2004.pdfIdentifier: Sarac, Vasilija and Petkovska, Lidija and Cvetkovski, Goga (2004) Dynamic Evaluation of Shaded Pole Motor models by Using Method of Genetic Algorithm. In: International Aegan Conference on Electrical Machines and Power Electronics.
