KLI

Optimal Design of a Synchronous Reluctance Motor Using a Genetic Topology Algorithm

Metadata Downloads
Abstract
The topology algorithm (TA) can effectively find an optimal solution by changing the material and shape of the design target without the limitation of design variables. In this paper, a genetic topology algorithm (GTA) is proposed for the design optimization of a synchronous reluctance motor (SynRM). By applying the stochastic algorithm (genetic algorithm (GA)) and the deterministic algorithm (ON?OFF method) to the design, the optimal shape can be found quickly and effectively.
The GTA, which improves manufacturability by removing the aliasing that occurs in TA, was applied to the design of SynRM to search for the optimal model. After dividing the rotor into a reverse mesh grid, the optimal topology was searched for by GA and ON?OFF methods. Then, mechanical stability was verified through stress analysis, and additional performance improvement was obtained through the skew technique. The final design, which satisfies the minimum efficiency, required torque, and torque ripple was derived by applying the step?by?step design using GTA to the SynRM optimization.
Author(s)
이태희이진환이경표임동국
Issued Date
2021
Type
Article
Keyword
industrial motorsON-OFF methodsmoothingsynchronous reluctance motor
DOI
10.3390/pr9101778
URI
https://oak.ulsan.ac.kr/handle/2021.oak/8822
https://ulsan-primo.hosted.exlibrisgroup.com/primo-explore/fulldisplay?docid=TN_cdi_doaj_primary_oai_doaj_org_article_b4ec72e129fe446dbb1eae61833a6860&context=PC&vid=ULSAN&lang=ko_KR&search_scope=default_scope&adaptor=primo_central_multiple_fe&tab=default_tab&query=any,contains,Optimal%20Design%20of%20a%20Synchronous%20Reluctance%20Motor%20Using%20a%20Genetic%20Topology%20Algorithm&offset=0&pcAvailability=true
Publisher
PROCESSES
Location
스위스
Language
영어
ISSN
2227-9717
Citation Volume
9
Citation Number
10
Citation Start Page
1778
Citation End Page
1778
Appears in Collections:
Engineering > Aerospace Engineering
Authorize & License
  • Authorize공개
Files in This Item:
  • There are no files associated with this item.

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.