LAPSE:2023.32644
Published Article

LAPSE:2023.32644
Asymmetrical Rotor Skewing Optimization in Switched Reluctance Machines Using Differential Evolutionary Algorithm
April 20, 2023
Abstract
Minimizing torque ripple in electrical machines for a given application is not a straightforward task, especially when the application imposes certain constraints. There are many techniques to improve torque ripple, either design-based or control-based. In this paper, a new geometry for switched reluctance machines based on rotor poles skewing is proposed to minimize torque ripple. This paper describes a methodology to design an asymmetrical skew rotor—switched reluctance machine using a multi-objective differential evolutionary algorithm. The main parameters of the optimization process are defined, as is the optimization methodology to obtain an improved design with less torque ripple than a conventional one. Moreover, the analytical formulas used in the optimization method, as well as the optimization technique, are deduced and explained in detail. The mathematical model used to simulate the electrical machine and the power converter are also described. Two-dimensional and three-dimensional finite element analyses were also conducted to assess whether 3D effects (end-effect and axial fringing field) affected the results. Finally, a particular case of a high-voltage direct current-controlled generator in the base of the More Electric Aircraft (MEA) concept or an energy storage system as an electrical machine was analyzed, and the results for the improved configuration were compared with those for the conventional one.
Minimizing torque ripple in electrical machines for a given application is not a straightforward task, especially when the application imposes certain constraints. There are many techniques to improve torque ripple, either design-based or control-based. In this paper, a new geometry for switched reluctance machines based on rotor poles skewing is proposed to minimize torque ripple. This paper describes a methodology to design an asymmetrical skew rotor—switched reluctance machine using a multi-objective differential evolutionary algorithm. The main parameters of the optimization process are defined, as is the optimization methodology to obtain an improved design with less torque ripple than a conventional one. Moreover, the analytical formulas used in the optimization method, as well as the optimization technique, are deduced and explained in detail. The mathematical model used to simulate the electrical machine and the power converter are also described. Two-dimensional and three-dimensional finite element analyses were also conducted to assess whether 3D effects (end-effect and axial fringing field) affected the results. Finally, a particular case of a high-voltage direct current-controlled generator in the base of the More Electric Aircraft (MEA) concept or an energy storage system as an electrical machine was analyzed, and the results for the improved configuration were compared with those for the conventional one.
Record ID
Keywords
differential evolution optimization, multi-objective optimization, skewed rotor, switched reluctance machine, torque ripple
Subject
Suggested Citation
Torres J, Moreno-Torres P, Navarro G, Blanco M, Nájera J, Santos-Herran M, Lafoz M. Asymmetrical Rotor Skewing Optimization in Switched Reluctance Machines Using Differential Evolutionary Algorithm. (2023). LAPSE:2023.32644
Author Affiliations
Torres J: CIEMAT, Spanish National Research Centre on Energy, Environment and Technology, 28040 Madrid, Spain [ORCID]
Moreno-Torres P: Gamesa Electric, 28830 Madrid, Spain
Navarro G: CIEMAT, Spanish National Research Centre on Energy, Environment and Technology, 28040 Madrid, Spain
Blanco M: CIEMAT, Spanish National Research Centre on Energy, Environment and Technology, 28040 Madrid, Spain [ORCID]
Nájera J: CIEMAT, Spanish National Research Centre on Energy, Environment and Technology, 28040 Madrid, Spain [ORCID]
Santos-Herran M: CIEMAT, Spanish National Research Centre on Energy, Environment and Technology, 28040 Madrid, Spain [ORCID]
Lafoz M: CIEMAT, Spanish National Research Centre on Energy, Environment and Technology, 28040 Madrid, Spain
Moreno-Torres P: Gamesa Electric, 28830 Madrid, Spain
Navarro G: CIEMAT, Spanish National Research Centre on Energy, Environment and Technology, 28040 Madrid, Spain
Blanco M: CIEMAT, Spanish National Research Centre on Energy, Environment and Technology, 28040 Madrid, Spain [ORCID]
Nájera J: CIEMAT, Spanish National Research Centre on Energy, Environment and Technology, 28040 Madrid, Spain [ORCID]
Santos-Herran M: CIEMAT, Spanish National Research Centre on Energy, Environment and Technology, 28040 Madrid, Spain [ORCID]
Lafoz M: CIEMAT, Spanish National Research Centre on Energy, Environment and Technology, 28040 Madrid, Spain
Journal Name
Energies
Volume
14
Issue
11
First Page
3194
Year
2021
Publication Date
2021-05-29
ISSN
1996-1073
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Original Submission
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PII: en14113194, Publication Type: Journal Article
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LAPSE:2023.32644
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https://doi.org/10.3390/en14113194
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