GA-based Optimization of a Surface-mounted Permanent Magnet Synchronous Motor |
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P. Cruz-Romero, A. Rodríguez del Nozal, J. M. Mauricio, M.A. González-Cagigal Department of Electrical Engineering, E.T.S.I., Sevilla University
2026-02-15 |
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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.
Key words: Fitness function, genetic algorithms, surface mounted permanent magnet, motor constant, Pareto front.
Published in: Renewable Energies, Environment
& Power Quality Journal (REE&PQJ) |
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| ISSUE: Vol. 25. No. 3 | Pages: 279-284 |
| E-ISSN: 3020-531 X | Date of Current Version: 2026-02-01 |
| REF: 548 | Issue Date: 2026-02-15 |
| DOI:10.24084/reepqj25-548 | Publisher: AEDERMACP/ EA4EPQ |
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