Ве молиме користете го овој идентификатор да го цитирате или поврзете овој запис: http://hdl.handle.net/20.500.12188/21593
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dc.contributor.authorCvetkovski, Gogaen_US
dc.contributor.authorPetkovska, Lidijaen_US
dc.date.accessioned2022-07-26T12:41:38Z-
dc.date.available2022-07-26T12:41:38Z-
dc.date.issued2022-06-02-
dc.identifier.citationCvetkovski, Goga and Petkovska, Lidija. ‘Optimal Solution of PM Synchronous Motor Obtained by Gravitational Search Algorithm’. 1 Jan. 2022 : 149 – 167.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12188/21593-
dc.description.abstractThis 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.en_US
dc.language.isoenen_US
dc.publisherIOS Pressen_US
dc.relation.ispartofInternational Journal of Applied Electromagnetics and Mechanicsen_US
dc.subjectPermanent magnet synchronous motoren_US
dc.subjectefficiencyen_US
dc.subjectoptimizationen_US
dc.subjectoptimal designen_US
dc.subjectgravitational search algorithmen_US
dc.titleOptimal solution of PM synchronous motor obtained by gravitational search algorithmen_US
dc.typeJournal Articleen_US
dc.identifier.doi10.3233/jae-210178-
dc.identifier.urlhttps://content.iospress.com/download?id=10.3233/JAE-210178-
dc.identifier.volume69-
dc.identifier.issue2-
dc.identifier.fpage149-
dc.identifier.lpage167-
item.fulltextNo Fulltext-
item.grantfulltextnone-
Appears in Collections:Faculty of Electrical Engineering and Information Technologies: Journal Articles
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