Design and co-analysis of a permanent magnet brushless DC motor by using clonal selection principle based wound healing algorithm and ansys-maxwell
Yükleniyor...
Tarih
2023
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
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.
Açıklama
Anahtar Kelimeler
BLDC, WHA, Optimization, PID Controller
Kaynak
Gazi University Journal of Science Part A: Engineering and Innovation
WoS Q Değeri
Scopus Q Değeri
Cilt
10
Sayı
4
Künye
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.
