飞轮储能用径向磁悬浮轴承结构优化设计
Structural Optimization Design of Radial Magnetic Bearing for Flywheel Energy Storage

为了提高磁轴承的承载力，同时考虑损耗、临界转速、控制刚度等问题，应对磁轴承的结构尺寸进行最优设计。本文将果蝇优化算法引进到飞轮储能用径向磁悬浮轴承的优化设计中，以尺寸参数为优化变量，以承载力、体积和轴向长度为优化目标，对径向磁悬浮轴承进行多目标优化。通过优化，径向磁悬浮轴承的承载力提高了50%，轴向长度和体积分别减小了30.6%和19.3%。结果表明，本文设计的优化算法简单有效，减小了优化工作量，具有普遍适用性。
In order to improve its capacity, while loss, critical speed and control stiffness are considered, the design of the structural dimensions of the radial magnetic bearing should be optimal. This paper introduces the fruit fly optimization algorithm (FOA) into the optimal design of the radial magnetic bearing(RMB) for flywheel energy storage. Its size parameter is used as an optimization variable, and its multi-objective optimization is carried out to optimize its capacity, volume and axial length. Through optimization, the carrying capacity of the RMB increases by 50%, and its axial length and volume decrease by 30.6% and 19.3% respectively. The results show that the optimization algorithm designed in this paper is simple and effective, reduces the optimization workload and has universal applicability