An efficient design optimization framework for nonlinear switched reluctance machines
An efficient design optimization framework for nonlinear switched reluctance machines
A new computationally efficient paradigm for the design and analysis of switched reluctance machines is proposed. At the heart of the rapid analysis and design methodology is the reduced order computational method based on a flux tube model which has been refined and extended. It is demonstrated how the improved model enables consistent and accurate analysis and design optimization. Instead of an analytical derivation, an automatic generation of cubic splines is introduced to model the magnetic flux. The flux linkage functions obtained from the improved flux tube method indicate that the method offers good accuracy compared to finite element based analysis, but with
significantly improved computational efficiency. The approach is applicable to translating and rotating switched reluctance machines of various topologies and therefore enables rapid design search and optimization of novel topologies.
Nonlinear switched reluctance machine, Magnetic circuit analysis, Flux tube modeling, Optimization
1985 - 1993
Stuikys, Aleksas
1c8d9a3b-e9a5-435b-a765-507d1bde5c51
Sykulski, Jan
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb
June 2017
Stuikys, Aleksas
1c8d9a3b-e9a5-435b-a765-507d1bde5c51
Sykulski, Jan
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb
Stuikys, Aleksas and Sykulski, Jan
(2017)
An efficient design optimization framework for nonlinear switched reluctance machines.
IEEE Transactions on Industry Applications, 53 (3), .
(doi:10.1109/TIA.2017.2665345).
Abstract
A new computationally efficient paradigm for the design and analysis of switched reluctance machines is proposed. At the heart of the rapid analysis and design methodology is the reduced order computational method based on a flux tube model which has been refined and extended. It is demonstrated how the improved model enables consistent and accurate analysis and design optimization. Instead of an analytical derivation, an automatic generation of cubic splines is introduced to model the magnetic flux. The flux linkage functions obtained from the improved flux tube method indicate that the method offers good accuracy compared to finite element based analysis, but with
significantly improved computational efficiency. The approach is applicable to translating and rotating switched reluctance machines of various topologies and therefore enables rapid design search and optimization of novel topologies.
Text
IEEE-TIA-2017
- Accepted Manuscript
More information
Accepted/In Press date: 7 February 2017
e-pub ahead of print date: 7 February 2017
Published date: June 2017
Keywords:
Nonlinear switched reluctance machine, Magnetic circuit analysis, Flux tube modeling, Optimization
Organisations:
Electronics & Computer Science, EEE
Identifiers
Local EPrints ID: 406214
URI: http://eprints.soton.ac.uk/id/eprint/406214
ISSN: 0093-9994
PURE UUID: d1834645-0807-48e3-896c-3ef467c5e0be
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Date deposited: 10 Mar 2017 10:42
Last modified: 16 Mar 2024 02:34
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Contributors
Author:
Aleksas Stuikys
Author:
Jan Sykulski
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