Özüpak, YıldırımÇınar, Mehmet2024-04-242024-04-242023Özüpak, 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), 499-510.2147-9542https://doi.org/10.54287/gujsa.1371904https://search.trdizin.gov.tr/yayin/detay/1217413https://hdl.handle.net/11468/28634https://dergipark.org.tr/en/pub/gujsa/issue/82401/1371904This 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.eninfo:eu-repo/semantics/openAccessBLDCWHAOptimizationPID ControllerArticle104499510121741310.54287/gujsa.1371904