Field-based optimal-design of an electric motor: a new sensitivity formulation
In this paper, a new approach to robust optimal design is proposed. The idea is to consider the sensitivity by means of two auxiliary criteria A and D, related to the magnitude and isotropy of the sensitivity, respectively. The optimal design of a switched-reluctance motor is considered as a case st...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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De Gruyter
2017-12-01
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Series: | Open Physics |
Subjects: | |
Online Access: | https://doi.org/10.1515/phys-2017-0112 |
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author | Barba Paolo Di Mognaschi Maria Evelina Lowther David Alister Wiak Sławomir |
author_facet | Barba Paolo Di Mognaschi Maria Evelina Lowther David Alister Wiak Sławomir |
author_sort | Barba Paolo Di |
collection | DOAJ |
description | In this paper, a new approach to robust optimal design is proposed. The idea is to consider the sensitivity by means of two auxiliary criteria A and D, related to the magnitude and isotropy of the sensitivity, respectively. The optimal design of a switched-reluctance motor is considered as a case study: since the case study exhibits two design criteria, the relevant Pareto front is approximated by means of evolutionary computing. |
first_indexed | 2024-12-21T00:23:29Z |
format | Article |
id | doaj.art-c01a3eba2d344310890a89b67f70cb0a |
institution | Directory Open Access Journal |
issn | 2391-5471 |
language | English |
last_indexed | 2024-12-21T00:23:29Z |
publishDate | 2017-12-01 |
publisher | De Gruyter |
record_format | Article |
series | Open Physics |
spelling | doaj.art-c01a3eba2d344310890a89b67f70cb0a2022-12-21T19:22:02ZengDe GruyterOpen Physics2391-54712017-12-0115192492810.1515/phys-2017-0112phys-2017-0112Field-based optimal-design of an electric motor: a new sensitivity formulationBarba Paolo Di0Mognaschi Maria Evelina1Lowther David Alister2Wiak Sławomir3Dept. of Electrical, Computer and Biomedical Engineering, University of PaviaVia Ferrata, 5 27100, Pavia, ItalyDept. of Electrical, Computer and Biomedical Engineering, University of PaviaVia Ferrata, 5 27100, Pavia, ItalyDepartment of Electrical and Computer Engineering, McGill University, McConnell Eng. Bldg., 3480 University Street, Montreal, QC, CAN H3A 2A7, CanadaInst. of Mechatronics and Information Systems, Łódź University of Technology, Stefanowskiego 18/22 Str., 90-924, Łódź, PolandIn this paper, a new approach to robust optimal design is proposed. The idea is to consider the sensitivity by means of two auxiliary criteria A and D, related to the magnitude and isotropy of the sensitivity, respectively. The optimal design of a switched-reluctance motor is considered as a case study: since the case study exhibits two design criteria, the relevant Pareto front is approximated by means of evolutionary computing.https://doi.org/10.1515/phys-2017-0112design sensitivityoptimal shape designmagnetic field analysisfinite element simulationswitched reluctance motor02.60.pn87.10.kn |
spellingShingle | Barba Paolo Di Mognaschi Maria Evelina Lowther David Alister Wiak Sławomir Field-based optimal-design of an electric motor: a new sensitivity formulation Open Physics design sensitivity optimal shape design magnetic field analysis finite element simulation switched reluctance motor 02.60.pn 87.10.kn |
title | Field-based optimal-design of an electric motor: a new sensitivity formulation |
title_full | Field-based optimal-design of an electric motor: a new sensitivity formulation |
title_fullStr | Field-based optimal-design of an electric motor: a new sensitivity formulation |
title_full_unstemmed | Field-based optimal-design of an electric motor: a new sensitivity formulation |
title_short | Field-based optimal-design of an electric motor: a new sensitivity formulation |
title_sort | field based optimal design of an electric motor a new sensitivity formulation |
topic | design sensitivity optimal shape design magnetic field analysis finite element simulation switched reluctance motor 02.60.pn 87.10.kn |
url | https://doi.org/10.1515/phys-2017-0112 |
work_keys_str_mv | AT barbapaolodi fieldbasedoptimaldesignofanelectricmotoranewsensitivityformulation AT mognaschimariaevelina fieldbasedoptimaldesignofanelectricmotoranewsensitivityformulation AT lowtherdavidalister fieldbasedoptimaldesignofanelectricmotoranewsensitivityformulation AT wiaksławomir fieldbasedoptimaldesignofanelectricmotoranewsensitivityformulation |