微特电机 ›› 2024, Vol. 52 ›› Issue (7): 1-7.

• 理论研究 •    下一篇

考虑悬浮牵引耦合的常导高速磁浮列车牵引性能仿真

张凯翔,卢琴芬,方攸同   

  1. 浙江大学 电气工程学院,杭州 310027
  • 收稿日期:2024-05-19 出版日期:2024-07-28 发布日期:2024-09-30

Traction Performance Simulation of Electromagnetic Suspension High-Speed Maglev Train Considering Levitation and Traction Coupling

ZHANG Kaixiang, LU Qinfen, FANG Youtong   

  1. College of Electrical Engineering, Zhejiang University,Hangzhou 310027, China
  • Received:2024-05-19 Online:2024-07-28 Published:2024-09-30

摘要: 常导高速磁浮列车长定子直线同步电机( LLSM) 定子电枢电流和动子励磁电流产生的磁动势共同作用形成气隙磁场,实现车辆悬浮和牵引,所以悬浮力和牵引力之间存在耦合。 基于 MATLAB / Simulink 建立了牵引供电系统的仿真模型,采用不考虑悬浮牵引耦合的 LLSM 数学模型,在恒定励磁电流条件下仿真计算了牵引性能;采用考虑悬浮牵引耦合的 LLSM 数学模型,其以有限元仿真数据为样本库,基于线性回归最小二乘方法拟合得到,在恒定悬浮力条件下仿真计算了牵引性能。 通过对比两种仿真结果,分析了耦合作用的影响。

关键词: 常导高速磁浮列车, 长定子直线同步电机, 悬浮牵引耦合, 最小二乘方法

Abstract: The magnetomotive force produced by stator armature current and rotor excitation current of long stator linear synchronous motor ( LLSM) in electromagnetic suspension high-speed maglev train jointly generate the air gap magnetic field, and then the vehicle realizes the levitation and traction. Therefore, the coupling exists between levitation force and traction force. A simulation model of traction power supply system was established based on MATLAB / Simulink. The LLSM mathematical model without considering the coupling between levitation and traction was adoped, and then the performance of traction system was simulated and calculated under the condition of constant excitation current. The LLSM mathematical model considering levitation-traction coupling was adopted, which was derived by the linear regression least squares method based on sample data from finite element model. The performance of traction system was simulated and calculated while maintaining a constant levitation force. The impact of coupling effect was analyzed by comparing former two simulation results.

Key words: electromagnetic suspension high-speed maglev train, long-stator linear synchronous motor ( LLSM ), levitation and traction coupling, least square method

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