Dynamic evaluation of shaded-pole motor models optimized by using the method of genetic algorithms

Sarac, Vasilija and Petkovska, Lidija and Cvetkovski, Goga (2005) Dynamic evaluation of shaded-pole motor models optimized by using the method of genetic algorithms. In: 6th International Symposium on Advanced Electromechanical Motion Systems: Electromotion 2005.

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Abstract

In the paper, a dynamic evaluation of three single-phase shaded-pole induction motor models is presented. At the beginning, using analytical approach with symmetrical components, a mathematical model for the basic model is developed. Accuracy of the model is verified by an experiment. Afterwards, using the Method of Genetic Algorithms and introducing as target functions electromagnetic torque and efficiency factor, two improved motor models are derived. Basic model and also the two new derived models are analyzed by using the Finite Element Method in time-harmonic domain. By developing a general simulation model of a shaded-pole motor, and applying it in Matlab/Simulink, dynamic performance characteristics of all motor models are obtained. Comparative dynamic analysis for the three motor models is carried out, proving the advantages and improvements of new optimized motor models.

Item Type: Conference or Workshop Item (Paper)
Subjects: Engineering and Technology > Electrical engineering, electronic engineering, information engineering
Divisions: Faculty of Electrical Engineering
Depositing User: Vasilija Sarac
Date Deposited: 27 Jun 2014 13:00
Last Modified: 27 Jun 2014 13:00
URI: http://eprints.ugd.edu.mk/id/eprint/10227

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