Optimal Design of IPMSM for FCEV Using Novel Immune Algorithm Combined with Steepest Descent Method
In this paper, the Novel Immune Algorithm (NIA) is proposed for an optimal design of electrical machines. By coupling the conventional Immune Algorithm and Steepest Descent Method, the NIA can perform fast and exact convergence to both global solutions and local solutions. Specifically, the concept...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-07-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/13/13/3395 |
| _version_ | 1797563492173086720 |
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| author | Ji-Chang Son Young-Rok Kang Dong-Kuk Lim |
| author_facet | Ji-Chang Son Young-Rok Kang Dong-Kuk Lim |
| author_sort | Ji-Chang Son |
| collection | DOAJ |
| description | In this paper, the Novel Immune Algorithm (NIA) is proposed for an optimal design of electrical machines. By coupling the conventional Immune Algorithm and Steepest Descent Method, the NIA can perform fast and exact convergence to both global solutions and local solutions. Specifically, the concept of an antibody radius is newly introduced to improve the ability to navigate full areas effectively and to find new peaks by excluding already searched areas. The validity of the NIA is confirmed by mathematical test functions with complex objective function regions. The NIA is applied to an optimal design of an interior permanent magnet synchronous motor for fuel cell electric vehicles and to derive an optimum design with diminished torque ripple. |
| first_indexed | 2024-03-10T18:43:25Z |
| format | Article |
| id | doaj.art-45da1bf4adf64b5395c2ea11a1e0ec83 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T18:43:25Z |
| publishDate | 2020-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-45da1bf4adf64b5395c2ea11a1e0ec832023-11-20T05:38:15ZengMDPI AGEnergies1996-10732020-07-011313339510.3390/en13133395Optimal Design of IPMSM for FCEV Using Novel Immune Algorithm Combined with Steepest Descent MethodJi-Chang Son0Young-Rok Kang1Dong-Kuk Lim2School of Electrical Engineering, University of Ulsan, Ulsan 44610, KoreaSchool of Electrical Engineering, University of Ulsan, Ulsan 44610, KoreaSchool of Electrical Engineering, University of Ulsan, Ulsan 44610, KoreaIn this paper, the Novel Immune Algorithm (NIA) is proposed for an optimal design of electrical machines. By coupling the conventional Immune Algorithm and Steepest Descent Method, the NIA can perform fast and exact convergence to both global solutions and local solutions. Specifically, the concept of an antibody radius is newly introduced to improve the ability to navigate full areas effectively and to find new peaks by excluding already searched areas. The validity of the NIA is confirmed by mathematical test functions with complex objective function regions. The NIA is applied to an optimal design of an interior permanent magnet synchronous motor for fuel cell electric vehicles and to derive an optimum design with diminished torque ripple.https://www.mdpi.com/1996-1073/13/13/3395fuel cell electric vehicle (FCEV)interior permanent magnet synchronous motor (IPMSM)multi-modal optimizationNovel Immune Algorithm (NIA)optimal design |
| spellingShingle | Ji-Chang Son Young-Rok Kang Dong-Kuk Lim Optimal Design of IPMSM for FCEV Using Novel Immune Algorithm Combined with Steepest Descent Method Energies fuel cell electric vehicle (FCEV) interior permanent magnet synchronous motor (IPMSM) multi-modal optimization Novel Immune Algorithm (NIA) optimal design |
| title | Optimal Design of IPMSM for FCEV Using Novel Immune Algorithm Combined with Steepest Descent Method |
| title_full | Optimal Design of IPMSM for FCEV Using Novel Immune Algorithm Combined with Steepest Descent Method |
| title_fullStr | Optimal Design of IPMSM for FCEV Using Novel Immune Algorithm Combined with Steepest Descent Method |
| title_full_unstemmed | Optimal Design of IPMSM for FCEV Using Novel Immune Algorithm Combined with Steepest Descent Method |
| title_short | Optimal Design of IPMSM for FCEV Using Novel Immune Algorithm Combined with Steepest Descent Method |
| title_sort | optimal design of ipmsm for fcev using novel immune algorithm combined with steepest descent method |
| topic | fuel cell electric vehicle (FCEV) interior permanent magnet synchronous motor (IPMSM) multi-modal optimization Novel Immune Algorithm (NIA) optimal design |
| url | https://www.mdpi.com/1996-1073/13/13/3395 |
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