Work

Multi-Objective Optimization of PMSM Motor Performance Using Genetic Algorithm for Enhanced Torque and Efficiency

Year: 2025

Type: article

Abstract: In this paper, the PMSM is utilised in electric automobile and industrial applications because of its compact size and excellent efficiency. Trade-offs in torque and efficiency determine the best performance of PMSMs. In this paper we present a new method for multi objective optimization of torque and efficiency enhancements using a Genetic Algorithm (GA). A parametric design, algorithmic implementation and simulation are performed. They show dramatic improvements in motor performance and gives a robust framework for future work.

Source: European Journal of Theoretical and Applied Sciences

DOI: 10.59324/ejtas.2025.3(3).08

Authors: Haseeb Rashid, Yinru Bai

Institution: Taiyuan University of Technology

Language: English

Topic: Electric Motor Design and Analysis

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: diamond

Funder: Taiyuan University of Technology