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Modeling and Analysis of Suspension Frame of Maglev Train
Author(s) -
Xijun Liu,
Gao Li-xia,
Lu Liu,
Yifang Tan,
Shirong Mou,
Yang Liu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1650/3/032196
Subject(s) - maglev , decoupling (probability) , suspension (topology) , frame (networking) , control theory (sociology) , acceleration , electromagnetic suspension , bogie , computer science , engineering , control engineering , control (management) , magnet , mechanical engineering , physics , mathematics , classical mechanics , artificial intelligence , homotopy , pure mathematics , electrical engineering
Based on the acceleration feedback system, the vertical dynamic model of the low-speed maglev train is established. By decoupling the suspension frame module, the author conducted a stress analysis of the single-sided and the entire suspension system, and established a system dynamics model of the suspension frame. The suspension controller is designed using classic PD control and acceleration feedback control methods. Then, the author used Simulink to create a dynamic simulation analysis program to analyze the dynamic performance of the suspension system affected by track misalignment and external disturbance forces, and analyze the impact of the suspension frame’s parameter design on the suspension system performance.

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