@inproceedings{90599b06694a4ab2859e0a702622200b,
title = "Optimization Design of a Dual-Rotor Axial-Flux Permanent Magnet Vernier Machine based on Genetic Algorithm",
abstract = "This paper proposes an optimal design to improve the torque and power factor of a dual-rotor axial-flux aligned permanent magnet vernier machine (DR-AFAPMVM) according to the results of two dimensional finite element analysis (2D-FEA). The stator tooth-slot structure in a vernier machine has the flux modulation effect and determines the main flux path, therefore, the optimal design of stator is an effective choice to achieve larger torque and power factor. Genetic algorithm (GA) is utilized as the basic optimization algorithm to obtain the final optimal result, which is further verified by FEA.",
keywords = "axial-flux machine, genetic algorithm, power factor, stator tooth optimization, torque density",
author = "Kuang Yang and Fei Zhao and Quanlin Wang and Hai Lin",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 22nd International Conference on Electrical Machines and Systems, ICEMS 2019 ; Conference date: 11-08-2019 Through 14-08-2019",
year = "2019",
month = aug,
doi = "10.1109/ICEMS.2019.8922135",
language = "英语",
series = "2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019",
address = "美国",
}