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Volume 14
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10.3390/en14113194
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Article

Asymmetrical Rotor Skewing Optimization in Switched Reluctance Machines Using Differential Evolutionary Algorithm

by
Jorge Torres
1,*,
Pablo Moreno-Torres
2,
Gustavo Navarro
1,
Marcos Blanco
1,
Jorge Nájera
1,
Miguel Santos-Herran
1 and
Marcos Lafoz
1
1
CIEMAT, Spanish National Research Centre on Energy, Environment and Technology, 28040 Madrid, Spain
2
Gamesa Electric, 28830 Madrid, Spain
*
Author to whom correspondence should be addressed.
Energies 2021, 14(11), 3194; https://doi.org/10.3390/en14113194
Submission received: 15 April 2021 / Revised: 22 May 2021 / Accepted: 25 May 2021 / Published: 29 May 2021
(This article belongs to the Special Issue Future Electrical Machines)
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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.
Keywords: switched reluctance machine; torque ripple; skewed rotor; differential evolution optimization; multi-objective optimization switched reluctance machine; torque ripple; skewed rotor; differential evolution optimization; multi-objective optimization

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MDPI and ACS Style

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. Energies 2021, 14, 3194. https://doi.org/10.3390/en14113194

AMA Style

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. Energies. 2021; 14(11):3194. https://doi.org/10.3390/en14113194

Chicago/Turabian Style

Torres, Jorge, Pablo Moreno-Torres, Gustavo Navarro, Marcos Blanco, Jorge Nájera, Miguel Santos-Herran, and Marcos Lafoz. 2021. "Asymmetrical Rotor Skewing Optimization in Switched Reluctance Machines Using Differential Evolutionary Algorithm" Energies 14, no. 11: 3194. https://doi.org/10.3390/en14113194

APA Style

Torres, J., Moreno-Torres, P., Navarro, G., Blanco, M., Nájera, J., Santos-Herran, M., & Lafoz, M. (2021). Asymmetrical Rotor Skewing Optimization in Switched Reluctance Machines Using Differential Evolutionary Algorithm. Energies, 14(11), 3194. https://doi.org/10.3390/en14113194

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