Design optimization of three-phase asynchronous motor stator slot based on genetic algorithm

Daixing Lu; Lingjuan Tang; Ye Shen

doi:10.1117/12.3014792

4 March 2024 Design optimization of three-phase asynchronous motor stator slot based on genetic algorithm

Daixing Lu, Lingjuan Tang, Ye Shen

Proceedings Volume 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023); 129814Q (2024) https://doi.org/10.1117/12.3014792
Event: 9th International Symposium on Sensors, Mechatronics, and Automation (ISSMAS 2023), 2023, Nanjing, China

Abstract

Three-phase asynchronous motors are characterized by simple structure, high power density and low cost, but their efficiency still needs to be improved. Therefore, genetic algorithm is combined with the traditional finite element method to reduce the energy loss by optimize the shape of stator slot. In order to improve the efficiency of the optimization simulation of the motor, a bidirectional data transfer between Python and Ansys Maxwell is carried out. The experimental results show that the energy loss of the motor after stator slot structure optimization is reduced by 5.87% and the motor efficiency performance is therefore improved.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Daixing Lu, Lingjuan Tang, and Ye Shen "Design optimization of three-phase asynchronous motor stator slot based on genetic algorithm", Proc. SPIE 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023), 129814Q (4 March 2024); https://doi.org/10.1117/12.3014792

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