Determining switched reluctance motor current waveforms exploiting the transformation from the time to the position domain
Determining switched reluctance motor current waveforms exploiting the transformation from the time to the position domain
This paper addresses the issue of estimating current waveforms in a switched reluctance motor required to achieve a desired electromagnetic torque. The methodology employed exploits the recently-developed method based on the transformation from the time to the position domain. This transformation takes account of nonlinearities caused by a doubly-salient structure. Owing to this new modelling technique it is possible to solve optimization problems with reference torque, constrained voltage, and parameter sensitivity accounted for. The proposed methodology is verified against published solutions and illustrated through simulations and experiments.
modelling, optimisation, switched reluctance motor, electronic comutator
Bernat, Jakub
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Stepien, Slawomir
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Sykulski, Jan
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Bernat, Jakub
a5a7478a-f9d3-4a29-9ec1-1f0b85bfdd34
Stepien, Slawomir
1a68e09d-bad3-4175-98ba-551160574307
Sykulski, Jan
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb
Bernat, Jakub, Stepien, Slawomir and Sykulski, Jan
(2017)
Determining switched reluctance motor current waveforms exploiting the transformation from the time to the position domain.
Energies, 10 (6).
(doi:10.3390/en10060799).
Abstract
This paper addresses the issue of estimating current waveforms in a switched reluctance motor required to achieve a desired electromagnetic torque. The methodology employed exploits the recently-developed method based on the transformation from the time to the position domain. This transformation takes account of nonlinearities caused by a doubly-salient structure. Owing to this new modelling technique it is possible to solve optimization problems with reference torque, constrained voltage, and parameter sensitivity accounted for. The proposed methodology is verified against published solutions and illustrated through simulations and experiments.
Text
Energies-MDPI-2017
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Accepted/In Press date: 5 June 2017
e-pub ahead of print date: 12 June 2017
Keywords:
modelling, optimisation, switched reluctance motor, electronic comutator
Organisations:
EEE
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Local EPrints ID: 411251
URI: http://eprints.soton.ac.uk/id/eprint/411251
ISSN: 1996-1073
PURE UUID: 2966c182-2ec0-44aa-bb1b-74fdd759e256
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Date deposited: 16 Jun 2017 16:31
Last modified: 16 Mar 2024 02:34
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Author:
Jakub Bernat
Author:
Slawomir Stepien
Author:
Jan Sykulski
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