Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/100585
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Electrical and Electronic Engineering | - |
| dc.creator | Wang, Q | - |
| dc.creator | Niu, S | - |
| dc.date.accessioned | 2023-08-11T03:10:47Z | - |
| dc.date.available | 2023-08-11T03:10:47Z | - |
| dc.identifier.isbn | 978-1-5386-1127-2 (Electronic) | - |
| dc.identifier.isbn | 978-1-5386-1128-9 (Print on Demand(PoD)) | - |
| dc.identifier.uri | http://hdl.handle.net/10397/100585 | - |
| dc.description | IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, 29 October 2017 - 01 November 2017, Beijing, China | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | IEEE | en_US |
| dc.rights | ©2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
| dc.rights | The following publication Q. Wang and S. Niu, "Design optimization and comparative analysis of dual-stator flux modulation machines," IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, 2017, pp. 3719-3724 is available at https://doi.org/10.1109/IECON.2017.8216632. | en_US |
| dc.subject | Dual-stator | en_US |
| dc.subject | Flux modulation | en_US |
| dc.subject | Genetic algorithm | en_US |
| dc.subject | Optimal design | en_US |
| dc.title | Design optimization and comparative analysis of dual-stator flux modulation machines | en_US |
| dc.type | Conference Paper | en_US |
| dc.identifier.spage | 3719 | - |
| dc.identifier.epage | 3724 | - |
| dc.identifier.doi | 10.1109/IECON.2017.8216632 | - |
| dcterms.abstract | This paper proposes three novel dual-stator flux-modulated permanent magnet (DSFMPM) machine concepts, which are particularly suitable for direct-drive applications with the virtue of their high torque density and low operation speed. The dual-stator configuration can help improve the use of inner cavity space, and achieve higher torque density comparing with the single-stator counterparts. Moreover, flux modulation is artfully employed to produce the gear effect, which can further benefit for the torque improvement. According to the PM location, the proposed DSFMPM machines are referred as (i) Stator-PM machine, (ii) Stator-rotor-PM machine, and (iii) Rotor-PM machine. Finite element method coupled with genetic algorithm, namely FEM-GA coupled method, is used to optimal design the proposed DSFMPM machines. Their electromagnetic performances are investigated in detail and quantitatively compared. The results show that the dual-stator topology can well improve the torque capability. Among all the proposed DSFMPM machines, the stator-PM one owns the lowest torque density because it has more short-circuit leakage flux. | - |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | In Proceedings of IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, 29 October 2017 - 01 November 2017, Beijing, China, 2017, p. 3719-3724 | - |
| dcterms.issued | 2017 | - |
| dc.identifier.scopus | 2-s2.0-85046646879 | - |
| dc.relation.conference | Annual Conference of Industrial Electronics Society [IECON] | - |
| dc.description.validate | 202308 bckw | - |
| dc.description.oa | Accepted Manuscript | en_US |
| dc.identifier.FolderNumber | EE-0442 | en_US |
| dc.description.fundingSource | RGC | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.identifier.OPUS | 9614579 | en_US |
| dc.description.oaCategory | Green (AAM) | en_US |
| Appears in Collections: | Conference Paper | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Wang_Design_Optimization_Comparative.pdf | Pre-Published version | 1.5 MB | Adobe PDF | View/Open |
Page views
97
Citations as of Apr 14, 2025
Downloads
58
Citations as of Apr 14, 2025
SCOPUSTM
Citations
1
Citations as of Sep 12, 2025
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.



