Design optimization and analysis of switched reluctance motor using genetic algorithm optimization technique

This paper presents efficiency optimization of switched reluctance motor based on genetic algorithm optimization technique. Switched reluctance motor (SRM) is considered for various applications due to its simple and robust construction. It is very essential to improve efficiency of switched relucta...

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Autores:
N. Patel, Amit
Tipo de recurso:
Article of journal
Fecha de publicación:
2025
Institución:
Universidad Tecnológica de Bolívar
Repositorio:
Repositorio Institucional UTB
Idioma:
eng
OAI Identifier:
oai:repositorio.utb.edu.co:20.500.12585/13559
Acceso en línea:
https://doi.org/10.32397/tesea.vol6.n1.659
Palabra clave:
Switched Reluctance Motor
Design Optimization
Genetic Algorithms
Parametric Analysis
Finite Element Analysis
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openAccess
License
Amit N. Patel - 2025
id UTB2_046fe8be71abc78e7b5f8e05218e36ea
oai_identifier_str oai:repositorio.utb.edu.co:20.500.12585/13559
network_acronym_str UTB2
network_name_str Repositorio Institucional UTB
repository_id_str
dc.title.spa.fl_str_mv Design optimization and analysis of switched reluctance motor using genetic algorithm optimization technique
dc.title.translated.spa.fl_str_mv Design optimization and analysis of switched reluctance motor using genetic algorithm optimization technique
title Design optimization and analysis of switched reluctance motor using genetic algorithm optimization technique
spellingShingle Design optimization and analysis of switched reluctance motor using genetic algorithm optimization technique
Switched Reluctance Motor
Design Optimization
Genetic Algorithms
Parametric Analysis
Finite Element Analysis
title_short Design optimization and analysis of switched reluctance motor using genetic algorithm optimization technique
title_full Design optimization and analysis of switched reluctance motor using genetic algorithm optimization technique
title_fullStr Design optimization and analysis of switched reluctance motor using genetic algorithm optimization technique
title_full_unstemmed Design optimization and analysis of switched reluctance motor using genetic algorithm optimization technique
title_sort Design optimization and analysis of switched reluctance motor using genetic algorithm optimization technique
dc.creator.fl_str_mv N. Patel, Amit
dc.contributor.author.eng.fl_str_mv N. Patel, Amit
dc.subject.eng.fl_str_mv Switched Reluctance Motor
Design Optimization
Genetic Algorithms
Parametric Analysis
Finite Element Analysis
topic Switched Reluctance Motor
Design Optimization
Genetic Algorithms
Parametric Analysis
Finite Element Analysis
description This paper presents efficiency optimization of switched reluctance motor based on genetic algorithm optimization technique. Switched reluctance motor (SRM) is considered for various applications due to its simple and robust construction. It is very essential to improve efficiency of switched reluctance motor. In this paper, optimization of 8/6 switched reluctance motor is achieved by using genetic algorithm with efficiency as its objective function. The objective of the paper is to identify the best switched reluctance motor design that provides better efficiency to satisfy the unique requirements of various applications. Using finite element analysis, a design validation of motor and characterization was made. It is analyzed that analytical results and simulation results are very close which establishes correctness of designs. The optimization result shows that the newly developed SRM design achieved better efficiency. The efficiency is increased from 82.75 % to 86.19 % with minor increase in weight. Improvement in efficiency can lead to lower energy usage, longer motor life span, and better performance.
publishDate 2025
dc.date.accessioned.none.fl_str_mv 2025-02-06 00:00:00
dc.date.available.none.fl_str_mv 2025-02-06 00:00:00
dc.date.issued.none.fl_str_mv 2025-02-06
dc.type.spa.fl_str_mv Artículo de revista
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.driver.eng.fl_str_mv info:eu-repo/semantics/article
dc.type.coar.eng.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.local.eng.fl_str_mv Journal article
dc.type.content.eng.fl_str_mv Text
dc.type.version.eng.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.coarversion.eng.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
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dc.identifier.url.none.fl_str_mv https://doi.org/10.32397/tesea.vol6.n1.659
dc.identifier.doi.none.fl_str_mv 10.32397/tesea.vol6.n1.659
dc.identifier.eissn.none.fl_str_mv 2745-0120
url https://doi.org/10.32397/tesea.vol6.n1.659
identifier_str_mv 10.32397/tesea.vol6.n1.659
2745-0120
dc.language.iso.eng.fl_str_mv eng
language eng
dc.relation.references.eng.fl_str_mv Till Weidner, Aidong Yang, and Michael W. Hamm. Energy optimisation of plant factories and greenhouses for different climatic conditions. Energy Conversion and Management, 243:114336, June 2021. [2] Lingyun Shao, Ahu Ece Hartavi Karci, Davide Tavernini, Aldo Sorniotti, and Ming Cheng. Design approaches and control strategies for energy-efficient electric machines for electric vehicles—a review. IEEE Access, 8:116900–116913, January 2020. [3] A. De Almeida, J. Fong, C.U. Brunner, R. Werle, and M. Van Werkhoven. New technology trends and policy needs in energy efficient motor systems - a major opportunity for energy and carbon savings. Renewable and Sustainable Energy Reviews, 115:109384, September 2019. [4] Chun Gan, Jianhua Wu, Qingguo Sun, Wubin Kong, Hongyu Li, and Yihua Hu. A review on machine topologies and control techniques for low-noise switched reluctance motors in electric vehicle applications. IEEE Access, 6:31430–31443, January 2018. [5] A.V. Radun. Design considerations for the switched reluctance motor. IEEE Transactions on Industry Applications, 31(5):1079–1087, January 1995. [6] K.M. Rahman and S.E. Schulz. Design of high-efficiency and high-torque-density switched reluctance motor for vehicle propulsion. IEEE Transactions on Industry Applications, 38(6):1500–1507, November 2002. [7] Alireza Siadatan, Ebrahim Afjei, and Hossein Torkaman. Analytical design and fem verification of a novel three-phase seven layers switched reluctance motor. Electromagnetic Waves, 140:131–146, January 2013. [8] Youn-Hyun Kim, Jae-Hak Choi, Sung-In Jung, Yon-Do Chun, Sol Kim, Ju Lee, Min-Sik Chu, Kyung-Jin Hong, and Dong-Hoon Choi. Optimal design of switched reluctance motor using two-dimensional finite element method. Journal of Applied Physics, 91(10):6967–6969, May 2002. [9] None Wei Wu, J.B. Dunlop, S.J. Collocott, and B.A. Kalan. Design optimization of a switched reluctance motor by electromagnetic and thermal finite-element analysis. IEEE Transactions on Magnetics, 39(5):3334–3336, September 2003. [10] Y. Hasegawa, K. Nakamura, and O. Ichinokura. Basic consideration of switched reluctance motor with auxiliary windings and permanent magnets. 2012 XXth International Conference on Electrical Machines, September 2012. [11] Z. Q. Zhu and David Howe. Electrical machines and drives for electric, hybrid, and fuel cell vehicles. Proceedings of the IEEE, 95(4):746–765, April 2007. [12] Zeng Song, Xiaobin Fan, and Jing Gan. Review on control of permanent magnet brushless dc motor for electric vehicle. International Journal of Electric and Hybrid Vehicles, 10(4):347, January 2018. [13] R. Krishnan, R. Arumugan, and J.F. Lindsay. Design procedure for switched-reluctance motors. IEEE Transactions on Industry Applications, 24(3):456–461, January 1988. [14] R. Krishnan. Switched reluctance motor drives: Modeling, Simulation, Analysis, Design, and Applications. CRC Press, June 2001. [15] R.T. Naayagi and V. Kamaraj. Shape optimization of switched reluctance machine for aerospace applications. 31st Annual Conference of IEEE Industrial Electronics Society, 2005. IECON, page 4 pp., January 2005. [16] Tohid Sharifi, Vahid Mirzaei Khales, and Mojtaba Mirsalim. Torque ripple minimization for a switch reluctance motor using the ant lion optimization algorithm. 2022 13th Power Electronics, Drive Systems, and Technologies Conference (PEDSTC), page 207–211, February 2022. [17] X. D. Xue, K. W. E. Cheng, T. W. Ng, and N. C. Cheung. Multi-objective optimization design of in-wheel switched reluctance motors in electric vehicles. IEEE Transactions on Industrial Electronics, 57(9):2980–2987, August 2010. [18] Sourabh Katoch, Sumit Singh Chauhan, and Vijay Kumar. A review on genetic algorithm: past, present, and future. Multimedia Tools and Applications, 80(5):8091–8126, October 2020. [19] R Vandana, Saurabh Nikam, and B. G. Fernandes. Criteria for design of high performance switched reluctance motor. 2012 XXth International Conference on Electrical Machines, page 129–135, September 2012. [20] M.G. Say. The Performance and Design of Alternating Current Machines. 2002. [21] K.M. Vishnu Murthy. Computer-Aided Design of Electrical Machines. 2008. [22] Rockaway Recycling. 1 Bare Bright Wire. https://rockawayrecycling.com/metal/1-bare-bright-wire/, n.d. Accessed: 2025-01-27.
dc.relation.ispartofjournal.eng.fl_str_mv Transactions on Energy Systems and Engineering Applications
dc.relation.citationvolume.eng.fl_str_mv 6
dc.relation.citationstartpage.none.fl_str_mv 1
dc.relation.citationendpage.none.fl_str_mv 13
dc.relation.bitstream.none.fl_str_mv https://revistas.utb.edu.co/tesea/article/download/659/438
dc.relation.citationedition.eng.fl_str_mv Núm. 1 , Año 2025 : Transactions on Energy Systems and Engineering Applications
dc.relation.citationissue.eng.fl_str_mv 1
dc.rights.eng.fl_str_mv Amit N. Patel - 2025
dc.rights.uri.eng.fl_str_mv https://creativecommons.org/licenses/by/4.0
dc.rights.accessrights.eng.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.creativecommons.eng.fl_str_mv This work is licensed under a Creative Commons Attribution 4.0 International License.
dc.rights.coar.eng.fl_str_mv http://purl.org/coar/access_right/c_abf2
rights_invalid_str_mv Amit N. Patel - 2025
https://creativecommons.org/licenses/by/4.0
This work is licensed under a Creative Commons Attribution 4.0 International License.
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.mimetype.eng.fl_str_mv application/pdf
dc.publisher.eng.fl_str_mv Universidad Tecnológica de Bolívar
dc.source.eng.fl_str_mv https://revistas.utb.edu.co/tesea/article/view/659
institution Universidad Tecnológica de Bolívar
repository.name.fl_str_mv Repositorio Digital Universidad Tecnológica de Bolívar
repository.mail.fl_str_mv bdigital@metabiblioteca.com
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spelling N. Patel, Amit2025-02-06 00:00:002025-02-06 00:00:002025-02-06This paper presents efficiency optimization of switched reluctance motor based on genetic algorithm optimization technique. Switched reluctance motor (SRM) is considered for various applications due to its simple and robust construction. It is very essential to improve efficiency of switched reluctance motor. In this paper, optimization of 8/6 switched reluctance motor is achieved by using genetic algorithm with efficiency as its objective function. The objective of the paper is to identify the best switched reluctance motor design that provides better efficiency to satisfy the unique requirements of various applications. Using finite element analysis, a design validation of motor and characterization was made. It is analyzed that analytical results and simulation results are very close which establishes correctness of designs. The optimization result shows that the newly developed SRM design achieved better efficiency. The efficiency is increased from 82.75 % to 86.19 % with minor increase in weight. Improvement in efficiency can lead to lower energy usage, longer motor life span, and better performance.application/pdfengUniversidad Tecnológica de BolívarAmit N. Patel - 2025https://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessThis work is licensed under a Creative Commons Attribution 4.0 International License.http://purl.org/coar/access_right/c_abf2https://revistas.utb.edu.co/tesea/article/view/659Switched Reluctance MotorDesign OptimizationGenetic AlgorithmsParametric AnalysisFinite Element AnalysisDesign optimization and analysis of switched reluctance motor using genetic algorithm optimization techniqueDesign optimization and analysis of switched reluctance motor using genetic algorithm optimization techniqueArtículo de revistainfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Journal articleTextinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85https://doi.org/10.32397/tesea.vol6.n1.65910.32397/tesea.vol6.n1.6592745-0120Till Weidner, Aidong Yang, and Michael W. Hamm. Energy optimisation of plant factories and greenhouses for different climatic conditions. Energy Conversion and Management, 243:114336, June 2021. [2] Lingyun Shao, Ahu Ece Hartavi Karci, Davide Tavernini, Aldo Sorniotti, and Ming Cheng. Design approaches and control strategies for energy-efficient electric machines for electric vehicles—a review. IEEE Access, 8:116900–116913, January 2020. [3] A. De Almeida, J. Fong, C.U. Brunner, R. Werle, and M. Van Werkhoven. New technology trends and policy needs in energy efficient motor systems - a major opportunity for energy and carbon savings. Renewable and Sustainable Energy Reviews, 115:109384, September 2019. [4] Chun Gan, Jianhua Wu, Qingguo Sun, Wubin Kong, Hongyu Li, and Yihua Hu. A review on machine topologies and control techniques for low-noise switched reluctance motors in electric vehicle applications. IEEE Access, 6:31430–31443, January 2018. [5] A.V. Radun. Design considerations for the switched reluctance motor. IEEE Transactions on Industry Applications, 31(5):1079–1087, January 1995. [6] K.M. Rahman and S.E. Schulz. Design of high-efficiency and high-torque-density switched reluctance motor for vehicle propulsion. IEEE Transactions on Industry Applications, 38(6):1500–1507, November 2002. [7] Alireza Siadatan, Ebrahim Afjei, and Hossein Torkaman. Analytical design and fem verification of a novel three-phase seven layers switched reluctance motor. Electromagnetic Waves, 140:131–146, January 2013. [8] Youn-Hyun Kim, Jae-Hak Choi, Sung-In Jung, Yon-Do Chun, Sol Kim, Ju Lee, Min-Sik Chu, Kyung-Jin Hong, and Dong-Hoon Choi. Optimal design of switched reluctance motor using two-dimensional finite element method. Journal of Applied Physics, 91(10):6967–6969, May 2002. [9] None Wei Wu, J.B. Dunlop, S.J. Collocott, and B.A. Kalan. Design optimization of a switched reluctance motor by electromagnetic and thermal finite-element analysis. IEEE Transactions on Magnetics, 39(5):3334–3336, September 2003. [10] Y. Hasegawa, K. Nakamura, and O. Ichinokura. Basic consideration of switched reluctance motor with auxiliary windings and permanent magnets. 2012 XXth International Conference on Electrical Machines, September 2012. [11] Z. Q. Zhu and David Howe. Electrical machines and drives for electric, hybrid, and fuel cell vehicles. Proceedings of the IEEE, 95(4):746–765, April 2007. [12] Zeng Song, Xiaobin Fan, and Jing Gan. Review on control of permanent magnet brushless dc motor for electric vehicle. International Journal of Electric and Hybrid Vehicles, 10(4):347, January 2018. [13] R. Krishnan, R. Arumugan, and J.F. Lindsay. Design procedure for switched-reluctance motors. IEEE Transactions on Industry Applications, 24(3):456–461, January 1988. [14] R. Krishnan. Switched reluctance motor drives: Modeling, Simulation, Analysis, Design, and Applications. CRC Press, June 2001. [15] R.T. Naayagi and V. Kamaraj. Shape optimization of switched reluctance machine for aerospace applications. 31st Annual Conference of IEEE Industrial Electronics Society, 2005. IECON, page 4 pp., January 2005. [16] Tohid Sharifi, Vahid Mirzaei Khales, and Mojtaba Mirsalim. Torque ripple minimization for a switch reluctance motor using the ant lion optimization algorithm. 2022 13th Power Electronics, Drive Systems, and Technologies Conference (PEDSTC), page 207–211, February 2022. [17] X. D. Xue, K. W. E. Cheng, T. W. Ng, and N. C. Cheung. Multi-objective optimization design of in-wheel switched reluctance motors in electric vehicles. IEEE Transactions on Industrial Electronics, 57(9):2980–2987, August 2010. [18] Sourabh Katoch, Sumit Singh Chauhan, and Vijay Kumar. A review on genetic algorithm: past, present, and future. Multimedia Tools and Applications, 80(5):8091–8126, October 2020. [19] R Vandana, Saurabh Nikam, and B. G. Fernandes. Criteria for design of high performance switched reluctance motor. 2012 XXth International Conference on Electrical Machines, page 129–135, September 2012. [20] M.G. Say. The Performance and Design of Alternating Current Machines. 2002. [21] K.M. Vishnu Murthy. Computer-Aided Design of Electrical Machines. 2008. [22] Rockaway Recycling. 1 Bare Bright Wire. https://rockawayrecycling.com/metal/1-bare-bright-wire/, n.d. Accessed: 2025-01-27.Transactions on Energy Systems and Engineering Applications6113https://revistas.utb.edu.co/tesea/article/download/659/438Núm. 1 , Año 2025 : Transactions on Energy Systems and Engineering Applications120.500.12585/13559oai:repositorio.utb.edu.co:20.500.12585/135592025-08-16 09:15:14.699https://creativecommons.org/licenses/by/4.0Amit N. Patel - 2025metadata.onlyhttps://repositorio.utb.edu.coRepositorio Digital Universidad Tecnológica de Bolívarbdigital@metabiblioteca.com

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