Design and co-analysis of a permanent magnet brushless DC motor by using clonal selection principle based wound healing algorithm and ansys-maxwell
dc.contributor.author | Özüpak, Yıldırım | |
dc.contributor.author | Çınar, Mehmet | |
dc.date.accessioned | 2024-04-24T19:13:29Z | |
dc.date.available | 2024-04-24T19:13:29Z | |
dc.date.issued | 2023 | |
dc.department | Dicle Üniversitesi, Silvan Meslek Yüksekokulu, Elektrik ve Enerji Bölümü | en_US |
dc.description.abstract | This paper presents the design and analysis of a 550 W Permanent Magnet (PM) Brushless DC motor (BLDC). The finite element method (FEM) was employed to assess the motor's performance characteristics. The design and dynamic performance analysis were conducted using ANSYS/Rmxprt, while electromagnetic studies were carried out using ANSYS/Maxwell-2D. Additionally, optimization of the DC motor was achieved through a Wound Healing Algorithm (WHA). A PID controller was designed for this purpose. The paper also elaborates on the detailed design equations for creating a BLDC motor. BLDC motors are known for their high dynamic responses, efficiency, extended operating life, wide speed change intervals, and noise-free operation. The motor's geometry was modeled in the ANSYS-Maxwell-Rmxprt software tool and later imported into the Maxwell-2D environment for further analysis. The designed motor was observed to operate with 93% efficiency, meeting the specified torque value. The results of the optimization process were interpreted by comparing them with the values obtained from the ANSYS software. | en_US |
dc.identifier.citation | Özüpak, Y. ve Çınar, M. (2023). Design and co-analysis of a permanent magnet brushless DC motor by using clonal selection principle based wound healing algorithm and ansys-maxwell. Gazi University Journal of Science Part A: Engineering and Innovation, 10(4), 499-510. | |
dc.identifier.doi | 10.54287/gujsa.1371904 | |
dc.identifier.endpage | 510 | en_US |
dc.identifier.issn | 2147-9542 | |
dc.identifier.issue | 4 | en_US |
dc.identifier.startpage | 499 | en_US |
dc.identifier.trdizinid | 1217413 | |
dc.identifier.uri | https://doi.org/10.54287/gujsa.1371904 | |
dc.identifier.uri | https://search.trdizin.gov.tr/yayin/detay/1217413 | |
dc.identifier.uri | https://hdl.handle.net/11468/28634 | |
dc.identifier.uri | https://dergipark.org.tr/en/pub/gujsa/issue/82401/1371904 | |
dc.identifier.volume | 10 | en_US |
dc.indekslendigikaynak | TR-Dizin | |
dc.institutionauthor | Özüpak, Yıldırım | |
dc.language.iso | en | en_US |
dc.relation.ispartof | Gazi University Journal of Science Part A: Engineering and Innovation | |
dc.relation.publicationcategory | Makale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | BLDC | |
dc.subject | WHA | |
dc.subject | Optimization | |
dc.subject | PID Controller | |
dc.title | Design and co-analysis of a permanent magnet brushless DC motor by using clonal selection principle based wound healing algorithm and ansys-maxwell | en_US |
dc.title | Design and co-analysis of a permanent magnet brushless DC motor by using clonal selection principle based wound healing algorithm and ansys-maxwell | |
dc.type | Article | en_US |
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