Optimal design of a modular axial‐flux permanent‐magnet synchronous generator for gearless wind turbine applications
Abstract Air‐cored axial‐flux permanent‐magnet synchronous generators (AFPMSGs) are potential candidates for gearless direct‐coupled wind turbines (DCWTs) owing to providing high efficiency and power density. The design of a DCWT generator is so complicated since the generator cost, dimension, and w...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2024-03-01
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| Series: | Wind Energy |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/we.2887 |
| _version_ | 1797295267136929792 |
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| author | Seyed Ataollah Ashrafzadeh Ali Asghar Ghadimi Ali Jabbari Mohammad Reza Miveh |
| author_facet | Seyed Ataollah Ashrafzadeh Ali Asghar Ghadimi Ali Jabbari Mohammad Reza Miveh |
| author_sort | Seyed Ataollah Ashrafzadeh |
| collection | DOAJ |
| description | Abstract Air‐cored axial‐flux permanent‐magnet synchronous generators (AFPMSGs) are potential candidates for gearless direct‐coupled wind turbines (DCWTs) owing to providing high efficiency and power density. The design of a DCWT generator is so complicated since the generator cost, dimension, and weight affected by gear elimination. Therefore, it is essential to find an optimal AFPMSG design at rated conditions. In this paper, an accurate procedure for the optimal design of an air‐cored AFPMSG applicable for DCWTs is proposed. The genetic algorithm (GA) is used for multi‐objective design optimization to reach the optimal configuration as well as system dimension in order to decrease the weight, increase the power density and enhance the effectiveness of the generator. To validate the efficiency of the suggested optimization proceducer, a 30 kW AFPMSG has been considered as a case study. The results of optimization have been investigated by finite element analysis (FEA). A prototype generator is also fabricated, and the test results are offered and compared with the numerical study. The outcomes show that there exists an acceptable agreement between FEA and experimental outcomes with the error percentage about of 1.35%. |
| first_indexed | 2024-03-07T21:44:17Z |
| format | Article |
| id | doaj.art-3a6aba9c9f50472f88a3b2771c7c24c9 |
| institution | Directory Open Access Journal |
| issn | 1095-4244 1099-1824 |
| language | English |
| last_indexed | 2024-03-07T21:44:17Z |
| publishDate | 2024-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | Wind Energy |
| spelling | doaj.art-3a6aba9c9f50472f88a3b2771c7c24c92024-02-26T00:58:28ZengWileyWind Energy1095-42441099-18242024-03-0127325827610.1002/we.2887Optimal design of a modular axial‐flux permanent‐magnet synchronous generator for gearless wind turbine applicationsSeyed Ataollah Ashrafzadeh0Ali Asghar Ghadimi1Ali Jabbari2Mohammad Reza Miveh3Department of Mechatronics, Faculty of Engineering Arak University Arak IranDepartment of Electrical Engineering, Faculty of Engineering Arak University Arak IranDepartment of Mechanical Engineering, Faculty of Engineering Arak University Arak IranDepartment of Electrical Engineering Tafresh University Tafresh IranAbstract Air‐cored axial‐flux permanent‐magnet synchronous generators (AFPMSGs) are potential candidates for gearless direct‐coupled wind turbines (DCWTs) owing to providing high efficiency and power density. The design of a DCWT generator is so complicated since the generator cost, dimension, and weight affected by gear elimination. Therefore, it is essential to find an optimal AFPMSG design at rated conditions. In this paper, an accurate procedure for the optimal design of an air‐cored AFPMSG applicable for DCWTs is proposed. The genetic algorithm (GA) is used for multi‐objective design optimization to reach the optimal configuration as well as system dimension in order to decrease the weight, increase the power density and enhance the effectiveness of the generator. To validate the efficiency of the suggested optimization proceducer, a 30 kW AFPMSG has been considered as a case study. The results of optimization have been investigated by finite element analysis (FEA). A prototype generator is also fabricated, and the test results are offered and compared with the numerical study. The outcomes show that there exists an acceptable agreement between FEA and experimental outcomes with the error percentage about of 1.35%.https://doi.org/10.1002/we.2887air‐cored generatoraxial‐flux permanent‐magnet synchronous generatorfinite element analysisgenetic algorithmoptimizationwind turbines |
| spellingShingle | Seyed Ataollah Ashrafzadeh Ali Asghar Ghadimi Ali Jabbari Mohammad Reza Miveh Optimal design of a modular axial‐flux permanent‐magnet synchronous generator for gearless wind turbine applications Wind Energy air‐cored generator axial‐flux permanent‐magnet synchronous generator finite element analysis genetic algorithm optimization wind turbines |
| title | Optimal design of a modular axial‐flux permanent‐magnet synchronous generator for gearless wind turbine applications |
| title_full | Optimal design of a modular axial‐flux permanent‐magnet synchronous generator for gearless wind turbine applications |
| title_fullStr | Optimal design of a modular axial‐flux permanent‐magnet synchronous generator for gearless wind turbine applications |
| title_full_unstemmed | Optimal design of a modular axial‐flux permanent‐magnet synchronous generator for gearless wind turbine applications |
| title_short | Optimal design of a modular axial‐flux permanent‐magnet synchronous generator for gearless wind turbine applications |
| title_sort | optimal design of a modular axial flux permanent magnet synchronous generator for gearless wind turbine applications |
| topic | air‐cored generator axial‐flux permanent‐magnet synchronous generator finite element analysis genetic algorithm optimization wind turbines |
| url | https://doi.org/10.1002/we.2887 |
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