Multi-Objective Optimization of PMSM Motor Performance Using Genetic Algorithm for Enhanced Torque and Efficiency
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.
Authors
- Haseeb Rashid (ORCID: https://orcid.org/0009-0002-8657-5763)
- Yinru Bai (ORCID: https://orcid.org/0000-0002-4517-6072)
Institutions
- Taiyuan University of Technology (CN)
Publication Details
- Journal
- European Journal of Theoretical and Applied Sciences
- Published
- 2025-04-26
- DOI
- https://doi.org/10.59324/ejtas.2025.3(3).08
- Primary Topic
- Sensorless Control of Electric Motors
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Taiyuan University of Technology