Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/25567
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Cvetkovski, Goga | en_US |
dc.contributor.author | Petkovska, Lidija | en_US |
dc.date.accessioned | 2023-01-27T11:49:19Z | - |
dc.date.available | 2023-01-27T11:49:19Z | - |
dc.date.issued | 2016-09 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.12188/25567 | - |
dc.description.abstract | In this paper a genetic algorithm based optimal design of a permanent magnet synchronous motor (PMSM) is proposed. This approach employs a genetic algorithm (GA) technique as a search tool for optimal design solution of a PMSM based on the value of the objective function. The sum of the efficiency of the motor and the inverse value of the permanent magnet total weight is selected as a multi-objective function. An overall comparative analysis of the optimisation parameters and the values of certain important motor parameter of the prototype model and the optimal solution motor is presented. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.subject | Optimization, genetic algorithm, multi-objective optimization, permanent magnet synchronous motor, finite element method. | en_US |
dc.title | Multi-objective optimal design of permanent magnet synchronous motor | en_US |
dc.type | Proceeding article | en_US |
dc.relation.conference | 2016 IEEE International Power Electronics and Motion Control Conference (PEMC), 25-30. 09. 2016, Varna, Bulgaria. | en_US |
dc.identifier.doi | 10.1109/epepemc.2016.7752064 | - |
dc.identifier.url | http://xplorestaging.ieee.org/ielx7/7736341/7751961/07752064.pdf?arnumber=7752064 | - |
dc.identifier.fpage | 605 | - |
dc.identifier.lpage | 610 | - |
item.fulltext | No Fulltext | - |
item.grantfulltext | none | - |
Appears in Collections: | Faculty of Electrical Engineering and Information Technologies: Conference Papers |
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