GA-based Optimization of a Surface-mounted Permanent Magnet Synchronous Motor

Authors

  • P. Cruz-Romero Department of Electrical Engineering E.T.S.I., Sevilla University Camino de los Descubrimientos s/n – 41092 Sevilla Author
  • A. Rodríguez del Nozal Department of Electrical Engineering E.T.S.I., Sevilla University Camino de los Descubrimientos s/n – 41092 Sevilla Author
  • J. M. Mauricio Department of Electrical Engineering E.T.S.I., Sevilla University Camino de los Descubrimientos s/n – 41092 Sevilla Author
  • M.A. González-Cagigal Department of Electrical Engineering E.T.S.I., Sevilla University Camino de los Descubrimientos s/n – 41092 Sevilla Author

DOI:

https://doi.org/10.52152/4591

Keywords:

fitness function, genetic algorithms, surface mounted permanent magnet, motor constant, Pareto front

Abstract

The paper deals with a simple procedure to design surface mounted permanent magnet synchronous machines, based on genetic algorithms scripted in Python library deap. The paper includes the formulas involved in the motor design, the operational constraints, the fitness functions (torque constant and motor weight), as well as the results obtained after running the algorithm in a case study.

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Published

2025-07-25

Issue

Vol. 23 No. 5 (2025)

Section

Articles

License

Copyright (c) 2025 P. Cruz-Romero, A. Rodríguez del Nozal, J. M. Mauricio, M.A. González-Cagigal (Author)

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.