Geometry and Topology Optimization of Switched Reluctance Machines: A Review
Switched reluctance machines (SRMs) have recently attracted more interest in many applications due to the volatile prices of rare-earth permanent magnets (PMs) used in permanent magnet synchronous machines (PMSMs). They also have rugged construction and can operate at high speeds and high temperatur...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9669949/ |
| _version_ | 1798015498505420800 |
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| author | Mohamed Abdalmagid Ehab Sayed Mohamed H. Bakr Ali Emadi |
| author_facet | Mohamed Abdalmagid Ehab Sayed Mohamed H. Bakr Ali Emadi |
| author_sort | Mohamed Abdalmagid |
| collection | DOAJ |
| description | Switched reluctance machines (SRMs) have recently attracted more interest in many applications due to the volatile prices of rare-earth permanent magnets (PMs) used in permanent magnet synchronous machines (PMSMs). They also have rugged construction and can operate at high speeds and high temperatures. However, acoustic noise and high torque ripples, in addition to the relatively low torque density, present significant challenges. Geometry and topology optimization are applied to overcome these challenges and enable SRMs to compete with PMSMs. Key geometric design parameters are optimized to minimize various objective functions within geometry optimization. On the other hand, the material distribution in a particular design space within the machine domain may be optimized using topology optimization. We discuss how these techniques are applied to optimize the geometries and topologies of SRMs to enhance machine performance. As optimizing the machine geometry and material distribution at the design phase is of substantial significance, this work offers a comprehensive literature review on the current state of the art and the possible trends in the optimization techniques of SRMs. The paper also reviews different configurations of SRMs and stochastic and deterministic optimization techniques utilized in optimizing different configurations of the machine. |
| first_indexed | 2024-04-11T15:35:33Z |
| format | Article |
| id | doaj.art-3df6d5f53b204b9d9652418fa29f8062 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-11T15:35:33Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-3df6d5f53b204b9d9652418fa29f80622022-12-22T04:15:58ZengIEEEIEEE Access2169-35362022-01-01105141517010.1109/ACCESS.2022.31404409669949Geometry and Topology Optimization of Switched Reluctance Machines: A ReviewMohamed Abdalmagid0https://orcid.org/0000-0001-7435-6905Ehab Sayed1https://orcid.org/0000-0002-2363-9654Mohamed H. Bakr2https://orcid.org/0000-0002-3749-2657Ali Emadi3https://orcid.org/0000-0002-0676-1455Department of Electric and Computer Engineering, McMaster University, Hamilton, ON, CanadaEnedym Inc., Hamilton, ON, CanadaDepartment of Electric and Computer Engineering, McMaster University, Hamilton, ON, CanadaDepartment of Electric and Computer Engineering, McMaster University, Hamilton, ON, CanadaSwitched reluctance machines (SRMs) have recently attracted more interest in many applications due to the volatile prices of rare-earth permanent magnets (PMs) used in permanent magnet synchronous machines (PMSMs). They also have rugged construction and can operate at high speeds and high temperatures. However, acoustic noise and high torque ripples, in addition to the relatively low torque density, present significant challenges. Geometry and topology optimization are applied to overcome these challenges and enable SRMs to compete with PMSMs. Key geometric design parameters are optimized to minimize various objective functions within geometry optimization. On the other hand, the material distribution in a particular design space within the machine domain may be optimized using topology optimization. We discuss how these techniques are applied to optimize the geometries and topologies of SRMs to enhance machine performance. As optimizing the machine geometry and material distribution at the design phase is of substantial significance, this work offers a comprehensive literature review on the current state of the art and the possible trends in the optimization techniques of SRMs. The paper also reviews different configurations of SRMs and stochastic and deterministic optimization techniques utilized in optimizing different configurations of the machine.https://ieeexplore.ieee.org/document/9669949/Deterministic optimizationgeometry optimizationstochastic optimizationswitched reluctance machinestopology optimization |
| spellingShingle | Mohamed Abdalmagid Ehab Sayed Mohamed H. Bakr Ali Emadi Geometry and Topology Optimization of Switched Reluctance Machines: A Review IEEE Access Deterministic optimization geometry optimization stochastic optimization switched reluctance machines topology optimization |
| title | Geometry and Topology Optimization of Switched Reluctance Machines: A Review |
| title_full | Geometry and Topology Optimization of Switched Reluctance Machines: A Review |
| title_fullStr | Geometry and Topology Optimization of Switched Reluctance Machines: A Review |
| title_full_unstemmed | Geometry and Topology Optimization of Switched Reluctance Machines: A Review |
| title_short | Geometry and Topology Optimization of Switched Reluctance Machines: A Review |
| title_sort | geometry and topology optimization of switched reluctance machines a review |
| topic | Deterministic optimization geometry optimization stochastic optimization switched reluctance machines topology optimization |
| url | https://ieeexplore.ieee.org/document/9669949/ |
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