微特电机 ›› 2023, Vol. 50 ›› Issue (8): 22-.

• 设计分析 • 上一篇    下一篇

轨道交通屏蔽门机用悬浮式直线电机的电磁分析与优化设计

缪  琼1,闫文远2,张  杰2   

  1.  1. 浙江纺织服装职业技术学院 315211; 2. 中国科学院宁波材料技术与工程研究所 315201
  • 收稿日期:2023-05-30 出版日期:2023-08-28 发布日期:2023-08-30
  • 作者简介:缪琼( 1980—) ,女,硕士,助教,研究方向为机电与轨道交通。 闫文远( 1999—) 男,硕士,研究生,研究方向为直线电机精密运动设计。 张杰( 1981—) ,男,博士,高级工程师,硕士生导师,研究方向为特种电机。

Electromagnetic Characteristics Analysis and Optimal Design of Suspended Linear Motors for Door Machines

MIAO Qiong1, YAN Wenyuan2, ZHANG Jie2   

  1.  1. Zhejiang Fashion Institute of Technology,Ningbo 315211, China;2. Ningbo Institute of Materials Technology & Engineering, CAS,Ningbo 315201, China
  • Received:2023-05-30 Online:2023-08-28 Published:2023-08-30

摘要: 随着直线电机技术水平的提高,直线电机的应用场景也在逐渐扩大。 其中包括直线电机在轨道交通屏蔽门机的应用。 传统的轨道交通屏蔽门机驱动系统采用旋转电机驱动方式,需要复杂的传动机构,容易造成较大的噪音与机械损耗。 采用一种新型悬浮式直线电机驱动屏蔽门机的方式,对电机的结构参数采用Taguchi 筛选出敏感性高的结构参数组合,同时采用响应面法对筛选出的结构参数组合建立相应的响应面函数,通过多目标优化遗传算法对直线电机进行优化设计,得到最优的结构参数组合,优化出一种高推力密度低推力波动直线电机。 优化前后直线电机性能参数对比结果表明,优化后的定位力与额定推力得到明显改善,证明该优化方案的可行性。

关键词: 直线电机, 磁悬浮, 低定位力, 交替极, 响应面法, 遗传算法

Abstract: As the level of linear motor technology increases, the application scenarios for linear motors are gradually expanding. These includes the use of linear motors in traditional rail shield door machine. The traditional rail shield door machine drive system uses a rotary motor drive method, which requires a complex transmission mechanism and is prone to large noise and mechanical losses. In this paper, a new type of suspended linear motor is adopted to drive the shield door, and the structural parameters of the motor are screened out using Taguchi to find out the highly sensitive structural parameter combinations, while the response surface method is used to establish the corresponding response surface functions for the screened structural parameter combinations, and finally the optimal design of the linear motor is carried out by multiobjective optimization genetic algorithm to obtain the optimal structural parameter combinations, which finally proposes a linear motor with low positioning force and low thrust fluctuation. The comparison of the performance parameters of the linear motor before and after optimization shows that the optimized positioning force and rated thrust are significantly improved. This proves that the optimized solution is feasible.

Key words: linear motor, magnetic levitation, low positioning force, alternating pole, response surface methodology, genetic algorithm

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