Optimization design of high-voltage multi-pole asynchronous motor based on optiSLang genetic algorithm

Objective To address increased motor losses and severe heating caused by high tooth harmonics in high-voltage multi-pole asynchronous motors for nuclear power plants. Methods A no-load loss calculation model considering higher-order harmonics is proposed for high-voltage multi-pole asynchronous motors. Rotor iron loss and no-load rotor copper loss are separated from additional losses, and stator and rotor iron loss models and a rotor copper loss model are established by considering the skin effect, rotational magnetization, and magnetic-material nonlinearity. The model is verified by asynchronous-motor no-load tests. To reduce the complexity and sample incomparability caused by direct mixed optimization of rotor slot number and slot dimensional parameters, a hierarchical optimization method is developed. The proposed loss model is first used to quantitatively screen the optimal slot combination, after which the continuous structural parameters are further optimized using the genetic algorithm in the optiSLang platform to obtain the final optimized motor design. Conclusions The proposed model achieves a relative error of 7.8% compared with experimental results. The 76-slot rotor scheme reduces the no-load loss by 5211.4 W compared with the original 108-slot rotor scheme. Further optimization improves motor efficiency by 1.78%, demonstrating the calculation accuracy of the proposed no-load loss model and the effectiveness of the hierarchical optimization method.