Force performance investigation of linear induction motor for low-speed Maglev train with an improved equivalent circuit model

2020 ◽  
Vol 62 (3) ◽  
pp. 477-489
Author(s):  
Yunfeng He ◽  
Jiawen Zhan ◽  
Qinfen Lu
Keyword(s):  
Equivalent Circuit ◽  
Induction Motor ◽  
Equivalent Circuit Model ◽  
Circuit Model ◽  
Maglev Train ◽  
Linear Induction ◽  
Low Speed ◽  
Linear Induction Motor

scholarly journals An Improved Equivalent Circuit Model of a Single-Sided Linear Induction Motor

2010 ◽  
Vol 59 (5) ◽  
pp. 2277-2289 ◽  
Author(s):  
Wei Xu ◽  
Jian Guo Zhu ◽  
Yongchang Zhang ◽  
Yaohua Li ◽  
Yi Wang ◽  
...  
Keyword(s):  
Equivalent Circuit ◽  
Induction Motor ◽  
Equivalent Circuit Model ◽  
Circuit Model ◽  
Linear Induction ◽  
Linear Induction Motor

scholarly journals Study on the optimization of linear induction motor traction system for fast-speed maglev train

2018 ◽  
Vol 4 (3 suppl. 1) ◽  
pp. 156-164
Author(s):  
Ying Yang ◽  
Jiangmin Deng ◽  
Laisheng Tong ◽  
Xiaoсhun Li ◽  
Qibiao Peng ◽  
...  
Keyword(s):  
Induction Motor ◽  
High Speed ◽  
Input Voltage ◽  
Force Characteristic ◽  
Maximum Speed ◽  
Maglev Train ◽  
Linear Induction ◽  
Low Speed ◽  
Linear Induction Motor ◽  
Fast Speed

Background: The short stator linear induction motor (LIM) is normally used in medium-low speed maglev train. The restriction by mounting space on bogie and motor input voltage from the third power supply rail lead that the maximum speed of medium-low speed maglev train can reach no more than 120 km/h. Aim: In this paper, by means of the LIM design optimization, improvement of the LIM force characteristic in high speed range, the maximum speed of medium-low speed maglev train can reach 160 km/h. Methods: After comparing the LIM theoretical calculation and actual test data, it shows that the new designed LIM is effective. Conclusion: Afterwards, by installing the new designed LIMs, the traditional medium-low speed maglev train becomes a fast-speed maglev train, and it has a bright future in transportation applications.

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