An Approach Based on Non-Dominated Sorting Genetic Algorithm III for Design of Permanent Magnet Synchronous Motor

Abstract

Due to industrial developments, the use of electric motors has increased in all areas nowadays. The increase also preceded the development of higher-specification motors. Although weight, cogging torque, torque ripples and drive technology etc. for the working area are important, the demand for the production of highly efficient and cost-effective motors has risen further due to the energy phenomenon in the world. High-quality algorithms are needed to achieve these objectives as well, because electric motor designs are multi-parameter and nonlinear engineering problems. This study aims to provide a multi-objective intelligent design with NSGAII and NSGAIII to improve outputs such as efficiency and cost of a permanent magnet synchronous motor. The design was intended for low speed and high torque/volume applications and the motor geometry was thus chosen as surface-mounted and double-layer concentrated winding. The optimization results were tested with a finite element program. Both methods resulted in a 3% increase in efficiency and a 37% reduction in cost versus initial design. The compatibility of the design optimization and the results of numerical analysis are also acceptable and highly satisfactory. So, it provides outputs to demonstrate the features of an electric motor design optimization.