Design and Co-Analysis of A Permanent Magnet Brushless DC Motor By Using Clonal Selection Principle Based Wound Healing Algorithm and Ansys-Maxwell

Year 2023, , 499 - 510, 31.12.2023

Yıldırım Özüpak , Mehmet Çınar

https://doi.org/10.54287/gujsa.1371904

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.

Keywords

BLDC, WHA, Optimization, PID Controller

References

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