激发
总谐波失真
定子
控制理论(社会学)
永磁同步发电机
发电机(电路理论)
灵敏度(控制系统)
计算机科学
多目标优化
功率(物理)
电子工程
工程类
物理
电气工程
控制(管理)
量子力学
人工智能
机器学习
作者
Daqiang Yan,Junyue Yu,Shushu Zhu,Chuang Liu,Kai Wang
标识
DOI:10.1109/scems60579.2023.10379297
摘要
The hybrid excitation synchronous generator has the advantages of flexible air-gap magnetic field adjustment and high power density. The multi-objective optimization of a brushless hybrid excitation synchronous generator using axial excitation is studied in this paper. The stator core loss, total harmonic distortion (THD) of output current and flux modulation coefficient are the optimization objectives of the generator. The sensitivity of the structural parameters is analyzed by Taguchi method and divided into two levels. Based on the hierarchical strategy, response surface method, genetic algorithm and single parameter scanning method are used for multi-objective optimization. In addition, the scheme is compared with the optimization scheme based on the conventional response surface model. By comparing the optimization results of the two schemes, the structural parameters with the best optimization performance of the generator are finally determined. Finally, the feasibility and effectiveness of the optimization method are verified by the three-dimensional finite element simulation.
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