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Subject: Electrical engineering, electronic engineering, information engineering


Year: 2004


Type: Conference or Workshop Item
Type: PeerReviewed



Title: GA Based Optimal Design of Shaded Pole Motor


Author: Sarac, Vasilija
Author: Petkovska, Lidija
Author: Cvetkovski, Goga



Abstract: Method of Genetic Algorithms-GA is applied in order to create optimised model of shaded pole motor-SPM starting from prototype. Optimisation is achieved by developing model with greater electormagnetic torque, weaker flux density and improved dynamic characteristics. Prototype and GA optimised model are analysed using equivalent circuit method -ECM, Finite Element Method – FEM and MATLAB/SIMULINK-MSM.


Publisher:


Relation: https://eprints.ugd.edu.mk/10228/



Identifier: oai:eprints.ugd.edu.mk:10228
Identifier: https://eprints.ugd.edu.mk/10228/1/programme.pdf
Identifier: https://eprints.ugd.edu.mk/10228/2/313.pdf
Identifier: Sarac, Vasilija and Petkovska, Lidija and Cvetkovski, Goga (2004) GA Based Optimal Design of Shaded Pole Motor. In: XVI International Conference on Electrical Machines ICEM’2004.



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GA Based Optimal Design of Shaded Pole Motor20041022