摘要
首次提出了对轴向永磁调速器永磁转子结构的改进,并使AnsoftMaxwell电磁仿真软件构造训练样本,构建了基于BP神经网络的改进后轴向永磁调速器预测模型;采用空间粒子群算法进行改进并将其用于轴向永磁调速器预测模型的求解,得到最优轴向永磁调速器结构。通过Ansoft软件进行仿真研究,其结果表明使用空间粒子群算法设计的轴向永磁调速器性能得到了极大地改善。
In this paper,it was proposed to improve the permanent magnet rotor structure of axial permanent magnet governor for the first time,training samples were constructed with MaxwellAnsoft electromagnetic simulation software and the improved prediction model of axial permanent magnet governor was built based on the BP neural network.The spatial particle swarm algorithm was used to solve the prediction model of the axial permanent magnet governor.The results of Ansoft simulation show that the performance of the axial permanent magnet governor designed by this optimization method has been greatly improved.
作者
吴迪
关焕新
邱力伟
郭祎珅
杨柏
赵柏翔
WU Di;GUAN Huan-xin;QIU Li-wei;GUO Yi-shen;YANG Bai;ZHAO Bai-xiang(Graduate Department,Shenyang Institute of Engineering,Shenyang 110136,Liaoning Province;School of New Energy,Shenyang Institute of Engineering,Shenyang 110136,Liaoning Province)
出处
《沈阳工程学院学报（自然科学版）》
2019年第2期141-148,共8页
Journal of Shenyang Institute of Engineering:Natural Science
关键词
改进型轴向永磁调速器
优化设计
空间粒子群法
Improved axial permanent magnet governor
Optimized design
Particle swarm optimization
