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

Abstract

In this paper, the design and performance analysis of a 550 W Permanent Magnet Brushless DC motor (BLDC) is presented. The finite element method (FEM) was used to determine the performance characteristics of the motor. The design and dynamic performance analysis of this motor was done on ANSYS/Rmxprt and electromagnetic studies were done on ANSYS/Maxwell-2D. In addition, with the help of the wound healing algorithm developed based on the clonal selection principle, the DC motor was optimized and a PID controller was designed to achieve this. Along with these, the method of designing a BLDC motor with detailed design equations is also explained. BLDC motors are motors with high dynamic responses and efficiency, long operating life, high speed change intervals and noise-free operating conditions. The motor geometry was modeled in ANSYS-Maxwell's-Rmxprt software tool and imported into the Maxwell-2D environment for further analysis. It has been observed that the designed motor works with 93% efficiency and can meet the designed torque value. The values obtained as a result of the optimization process were interpreted by comparing them with the values obtained from the ANSYS software.