Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/25534| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Cvetkovski, Goga | en_US |
| dc.contributor.author | Petkovska, Lidija | en_US |
| dc.date.accessioned | 2023-01-25T10:20:21Z | - |
| dc.date.available | 2023-01-25T10:20:21Z | - |
| dc.date.issued | 2022-09-25 | - |
| dc.identifier.uri | http://hdl.handle.net/20.500.12188/25534 | - |
| dc.description.abstract | The 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.iso | en | en_US |
| dc.publisher | IEEE | en_US |
| dc.title | Single and Multi-Objective Optimization of Permanent Magnet Synchronous Motor | en_US |
| dc.type | Proceeding article | en_US |
| dc.relation.conference | 2022 IEEE 20th International Power Electronics and Motion Control Conference (PEMC) | en_US |
| dc.identifier.doi | 10.1109/pemc51159.2022.9962939 | - |
| dc.identifier.url | http://xplorestaging.ieee.org/ielx7/9962809/9962837/09962939.pdf?arnumber=9962939 | - |
| dc.identifier.fpage | 367 | - |
| dc.identifier.lpage | 372 | - |
| item.fulltext | No Fulltext | - |
| item.grantfulltext | none | - |
| Appears in Collections: | Faculty of Electrical Engineering and Information Technologies: Conference Papers | |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.