Ве молиме користете го овој идентификатор да го цитирате или поврзете овој запис: http://hdl.handle.net/20.500.12188/25534
DC FieldValueLanguage
dc.contributor.authorCvetkovski, Gogaen_US
dc.contributor.authorPetkovska, Lidijaen_US
dc.date.accessioned2023-01-25T10:20:21Z-
dc.date.available2023-01-25T10:20:21Z-
dc.date.issued2022-09-25-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/25534-
dc.description.abstractThe optimal design of electrical machines or optimization of certain machine parameters has occupied the researchers and the academia for a long period of time. In this work a single objective and a multi-objective optimization approach is realized and presented. Genetic algorithm is used as an optimization tool. The efficiency of the motor, the cogging torque and the total weight of the active materials are applied as an objective function in the single objective optimization. The combination of those three functions is applied in the multi-objective optimization. Comparative results from all the optimization procedures are presented.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.titleSingle and Multi-Objective Optimization of Permanent Magnet Synchronous Motoren_US
dc.typeProceeding articleen_US
dc.relation.conference2022 IEEE 20th International Power Electronics and Motion Control Conference (PEMC)en_US
dc.identifier.doi10.1109/pemc51159.2022.9962939-
dc.identifier.urlhttp://xplorestaging.ieee.org/ielx7/9962809/9962837/09962939.pdf?arnumber=9962939-
dc.identifier.fpage367-
dc.identifier.lpage372-
item.fulltextNo Fulltext-
item.grantfulltextnone-
Appears in Collections:Faculty of Electrical Engineering and Information Technologies: Conference Papers
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