Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/21593
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Cvetkovski, Goga | en_US |
dc.contributor.author | Petkovska, Lidija | en_US |
dc.date.accessioned | 2022-07-26T12:41:38Z | - |
dc.date.available | 2022-07-26T12:41:38Z | - |
dc.date.issued | 2022-06-02 | - |
dc.identifier.citation | Cvetkovski, Goga and Petkovska, Lidija. ‘Optimal Solution of PM Synchronous Motor Obtained by Gravitational Search Algorithm’. 1 Jan. 2022 : 149 – 167. | en_US |
dc.identifier.uri | http://hdl.handle.net/20.500.12188/21593 | - |
dc.description.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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IOS Press | en_US |
dc.relation.ispartof | International Journal of Applied Electromagnetics and Mechanics | en_US |
dc.subject | Permanent magnet synchronous motor | en_US |
dc.subject | efficiency | en_US |
dc.subject | optimization | en_US |
dc.subject | optimal design | en_US |
dc.subject | gravitational search algorithm | en_US |
dc.title | Optimal solution of PM synchronous motor obtained by gravitational search algorithm | en_US |
dc.type | Journal Article | en_US |
dc.identifier.doi | 10.3233/jae-210178 | - |
dc.identifier.url | https://content.iospress.com/download?id=10.3233/JAE-210178 | - |
dc.identifier.volume | 69 | - |
dc.identifier.issue | 2 | - |
dc.identifier.fpage | 149 | - |
dc.identifier.lpage | 167 | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
Appears in Collections: | Faculty of Electrical Engineering and Information Technologies: Journal Articles |
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