| Title |
Robust Design of Interior Permanent Magnet Synchronous Motor for Washing Machine Drive Using Machine Learning and Genetic Algorithm |
| Authors |
오승환(Seung-Hwan Oh) ; 이경호(Kyung-Ho Lee) ; 임동국(Dong-Kuk Lim) |
| DOI |
https://doi.org/10.5370/KIEE.2025.74.9.1513 |
| Keywords |
Finite element analysis; Genetic algorithm; Robust design; Surrogate model; Washing machine |
| Abstract |
This paper propose a robust design method that accounts for performance variation caused by manufacturing tolerances in the optimal design process of electric motors. To achieve this, a surrogate model based on machine learning is employed in conjunction with a genetic algorithm. During the optimization process, the electromagnetic performance of the motor is evaluated through finite element analysis, and the results are used to construct a surrogate model for robustness evaluation. The surrogate model is continuously updated as data accumulate throughout the genetic algorithm iterations, thereby enhancing the reliability of the robustness assessment. The proposed method is validated using both benchmark test functions and an actual motor application. |