Vibration analysis of a maglev vehicle using electromagnetic suspension

2007 ◽  
Author(s):  
Hyungsuk Han ◽  
Bonghyuk Yim ◽  
Namjin Lee ◽  
Youngchul Hur ◽  
Jungil Kwon
Keyword(s):  
Vibration Analysis ◽  
Electromagnetic Suspension ◽  
Maglev Vehicle

scholarly journals Random Vibration Analysis of Coupled Three-Dimensional Maglev Vehicle-Bridge System

2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Wei Liu ◽  
Wenhua Guo
Keyword(s):  
State Space ◽  
Governing Equation ◽  
Vibration Analysis ◽  
Random Vibration ◽  
Three Dimensional ◽  
Equation Of Motion ◽  
Maglev Vehicle ◽  
Random Vibration Analysis ◽  
Space Equation ◽  
Bridge System

This paper presents a framework for the linear random vibration analysis of the coupled three-dimensional (3D) maglev vehicle-bridge system. Except for assembling the equation of motion of vehicle only via the principle of virtual work, the fully computerized approach is further expanded to assemble the governing equation of fluctuating current via the equilibrium relation. A state-space equation couples the equation of motion of the vehicle and the governing equation of fluctuating current. The equation of motion of a real three-span space continuous girder bridge is established by using finite element methods. A separated iteration method based on the precise integration method and the Newmark method is introduced to solve the state-space equation for the maglev vehicle and the equation of motion for the bridge. Moreover, a new scheme to application of the pseudoexcitation method (PEM) in random vibration analysis is proposed to maximize the computational efficiency of the random vibration analysis of the maglev vehicle-bridge system. Finally, the numerical simulation demonstrates that the proposed framework can efficiently obtain the mean value, root mean square (RMS), standard deviation (SD), and power spectral density (PSD) of dynamic response for the coupled 3D maglev vehicle-bridge system.

An Efficient Approach for Stochastic Vibration Analysis of High-Speed Maglev Vehicle-Guideway System

2021 ◽  
pp. 2150080
Author(s):  
Zhiwu Yu ◽  
Peng Zhang ◽  
Jianfeng Mao ◽  
Pol D. Spanos ◽  
Y. Frank Chen
Keyword(s):  
Vibration Analysis ◽  
High Speed ◽  
Random Vibration ◽  
Random Model ◽  
Dynamic Responses ◽  
Stochastic Dynamic ◽  
Time Step ◽  
Good Efficiency ◽  
Efficient Approach ◽  
Maglev Vehicle

The high-speed maglev vehicle-guideway coupled system (MVGCS) is a complex system, whose random vibration characteristics have not been well studied due to a limited number of examples. To address this issue, a new efficient approach is proposed for the random vibration analysis of the MVGCS, which combines the probability density evolution method and multi-time step method with multiple random loads considered. The random model established for 10-degree-of-freedom maglev vehicles and guideway is time-dependent, considering two different supporting conditions. The Monte Carlo method is used to assess the accuracy and efficiency of the proposed approximate approach, and the random model is verified through comparison with available results. The stochastic dynamic responses of the vehicles, guideway, and electromagnetic levitation forces, including the mean values and standard deviations, are determined in a case study. The results show that the proposed method is feasible for the dynamic analysis of maglev systems with a reasonably good efficiency in computation. Furthermore, critical parametric analyses involving vehicle speed, irregularity, and cut-off wavelength are performed with the results discussed.

Dynamic stability of an electromagnetic suspension maglev vehicle under steady aerodynamic load

2021 ◽  
Author(s):  
Han Wu ◽  
Xiao-Hui Zeng ◽  
Ding-Gang Gao ◽  
Jiang Lai
Keyword(s):  
Dynamic Stability ◽  
Aerodynamic Load ◽  
Electromagnetic Suspension ◽  
Maglev Vehicle

Coupled vibration analysis of Maglev vehicle-guideway while standing still or moving at low speeds

2015 ◽  
Vol 53 (4) ◽  
pp. 587-601 ◽  
Author(s):  
Ki-Jung Kim ◽  
Jong-Boo Han ◽  
Hyung-Suk Han ◽  
Seok-Jo Yang
Keyword(s):  
Vibration Analysis ◽  
Coupled Vibration ◽  
Maglev Vehicle ◽  
Low Speeds

Evolutionary Hinfin; design of an electromagnetic suspension control system for a maglev vehicle

1997 ◽  
Vol 211 (5) ◽  
pp. 345-355 ◽  
Author(s):  
N V Dakev ◽  
J F Whidborne ◽  
A J Chipperfield ◽  
P J Fleming
Keyword(s):  
Control System ◽  
Evolutionary Algorithm ◽  
Weighting Function ◽  
Design Procedure ◽  
Optimization Techniques ◽  
Electromagnetic Suspension ◽  
Maglev Vehicle ◽  
Potential Benefits ◽  
Mixed Optimization ◽  
Parameter Values

A multiobjective evolutionary algorithm approach is proposed for the H∞ design of an electromagnetic suspension (EMS) control system for a maglev vehicle. The evolutionary algorithm is used in conjunction with an H∞ loop-shaping design procedure to perform multiobjective search over a set of possible weighting function structures and parameter values in order to satisfy a number of conflicting design criteria. It is demonstrated that the proposed approach offers a number of potential benefits over other ‘mixed optimization’ techniques by allowing the control engineer to select from a number of satisfactory design solutions of differing complexity.

Introduction to Finite Element Vibration Analysis

2010 ◽  
Author(s):  
Maurice Petyt
Keyword(s):  
Finite Element ◽  
Vibration Analysis
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