Combined FE and Particle Swarm algorithm for optimization of high speed PM synchronous machine. Issue 2 (2nd March 2015)
- Record Type:
- Journal Article
- Title:
- Combined FE and Particle Swarm algorithm for optimization of high speed PM synchronous machine. Issue 2 (2nd March 2015)
- Main Title:
- Combined FE and Particle Swarm algorithm for optimization of high speed PM synchronous machine
- Authors:
- Slawomir Wiak, Professor
Belahcen, Anouar
Martin, Floran
Zaim, Mohammed El-Hadi
Dlala, Emad
Kolondzovski, Zlatko - Abstract:
- <abstract> <title> <x content-type="archive" xml:space="preserve">Abstract</x> </title> <sec> <title content-type="abstract-heading">Purpose</title> <p> – The purpose of this paper is to optimize the stator slot geometry of a high-speed electrical machine, which is used as an assist for a turbocharger. Meanwhile, the suitability of the Particle Swarm algorithm for such a problem is to be tested. </p> </sec> <sec> <title content-type="abstract-heading">Design/methodology/approach</title> <p> – The starting point of the optimization is an existing design, for which the Particle Swarm algorithm is applied in conjunction with the transient time-stepping 2D finite element method. </p> </sec> <sec> <title content-type="abstract-heading">Findings</title> <p> – It is found that regardless of its stochastic nature, the Particle Swarm work well for the optimization of electrical machines. The optimized design resulted in an increase of the slot area and increase of the iron loss, which was compensated by a dramatic decrease in the Joule losses. </p> </sec> <sec> <title content-type="abstract-heading">Research limitations/implications</title> <p> – The optimization was concentrated on the stator design whereas the rotor dimensioning was carried out withing the compressor and turbine design. </p> </sec> <sec> <title content-type="abstract-heading">Originality/value</title> <p> – A turbocharger with electric assist is designed optimized and manufactured. The Particle Swarm algorithm is<abstract> <title> <x content-type="archive" xml:space="preserve">Abstract</x> </title> <sec> <title content-type="abstract-heading">Purpose</title> <p> – The purpose of this paper is to optimize the stator slot geometry of a high-speed electrical machine, which is used as an assist for a turbocharger. Meanwhile, the suitability of the Particle Swarm algorithm for such a problem is to be tested. </p> </sec> <sec> <title content-type="abstract-heading">Design/methodology/approach</title> <p> – The starting point of the optimization is an existing design, for which the Particle Swarm algorithm is applied in conjunction with the transient time-stepping 2D finite element method. </p> </sec> <sec> <title content-type="abstract-heading">Findings</title> <p> – It is found that regardless of its stochastic nature, the Particle Swarm work well for the optimization of electrical machines. The optimized design resulted in an increase of the slot area and increase of the iron loss, which was compensated by a dramatic decrease in the Joule losses. </p> </sec> <sec> <title content-type="abstract-heading">Research limitations/implications</title> <p> – The optimization was concentrated on the stator design whereas the rotor dimensioning was carried out withing the compressor and turbine design. </p> </sec> <sec> <title content-type="abstract-heading">Originality/value</title> <p> – A turbocharger with electric assist is designed optimized and manufactured. The Particle Swarm algorithm is shown to be very stable.</p> </sec> </abstract> … (more)
- Is Part Of:
- Compel. Volume 34:Issue 2(2015)
- Journal:
- Compel
- Issue:
- Volume 34:Issue 2(2015)
- Issue Display:
- Volume 34, Issue 2 (2015)
- Year:
- 2015
- Volume:
- 34
- Issue:
- 2
- Issue Sort Value:
- 2015-0034-0002-0000
- Page Start:
- 475
- Page End:
- 484
- Publication Date:
- 2015-03-02
- Subjects:
- Electrical engineering -- Data Processing -- Periodicals
Electrical engineering -- Mathematics -- Periodicals
Electrical engineering -- Periodicals
Electronics -- Data Processing -- Periodicals
Electronics -- Mathematics -- Periodicals
621.3 - Journal URLs:
- http://www.emeraldinsight.com/0332-1649.htm ↗
http://www.emeraldinsight.com/ ↗
http://firstsearch.oclc.org ↗ - DOI:
- 10.1108/COMPEL-07-2014-0168 ↗
- Languages:
- English
- ISSNs:
- 0332-1649
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3363.924000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 4220.xml