A modified electromagnetic force calculation method has high accuracy and applicability for EMS maglev vehicle dynamics simulation

Feng, Yang; Zhao, Chunfa; Bai, Zhan; Tong, Laisheng; Shu, Yao

doi:10.1016/j.isatra.2023.01.019

Cited by 4 publications

(1 citation statement)

References 10 publications

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“…The Maglev train is a groundbreaking invention in human history. It holds a vast potential for application in today’s pursuit of a green and low-carbon environment (Feng et al, 2023; Zhang and Yu, 2023). Maglev trains have been put into commercial operation in countries such as Japan (Murai, 2008), South Korea (Kim et al, 2015) and China (Liang et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Dynamic model of high-speed maglev train-guideway bridge system with a nonlinear suspension controller

Bu,

Wang,

Han

et al. 2024

Advances in Structural Engineering

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To improve the anti-interference ability of maglev trains, a dynamic model of the high-speed maglev train with a nonlinear suspension controller for the guideway system is proposed in this paper. Based on the nonlinear characteristics of the magnetic suspension system, a nonlinear decoupling controller is designed using the feedback linearization theory. Then, a high-speed maglev train model is refined with a guideway coupling system, consisting of a maglev train simulated as a multi-body dynamics model with 537 degrees of freedom and a spatial finite element model of the guideway. Taking the Shanghai high-speed maglev train as an example, the correctness of the computational model is verified by comparing the modeling results with field measurement data, and the control effectiveness of the nonlinear controllers and the traditional PD controllers is compared considering different train speeds and disturbance forces. The results show that the suspension gap under the decoupling control is smaller than that under the PD control during the train operations. Under the same disturbance force, the decoupling control exhibits better control performance than the PD control. The variation amplitudes of the magnetic pole gaps are generally linearly related to the disturbance force.

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Section: Introductionmentioning

confidence: 99%

Dynamic model of high-speed maglev train-guideway bridge system with a nonlinear suspension controller

Bu,

Wang,

Han

et al. 2024

Advances in Structural Engineering

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Metamodel of Magnet-rail Relationship of EMS Maglev Train Based on BP Neural Network

Zeng,

Liu,

2024

2024 7th International Conference on Electronics Technology (ICET)

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Nonlinear Vibration and Stiffness Characteristics Analysis of Maglev Train Based on Cubic Displacement Control

Cao,

Liu,

Wang

et al. 2024

Int. J. Str. Stab. Dyn.

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A control strategy combining cubic displacement feedback nonlinear control and proportional-differential (PD) linear control is used to control the vibration performance of the maglev system. The maglev system is divided into positive stiffness maglev system, quasi-zero stiffness maglev system and negative stiffness maglev system according to the linear stiffness value of maglev system. Firstly, an improved multi-scale method is used to analyze the vibration characteristics of suspension in the positive stiffness state of the maglev system. Secondly, the influence of control parameters on train vibration amplitude and vibration center displacement under quasi-zero stiffness is studied. Finally, the vibration characteristics of the train when the maglev system is in negative stiffness are analyzed by numerical simulation. The maglev system exhibits the worst vibration performance under negative stiffness compared with positive stiffness and quasi-zero stiffness. The suspension frame is easy to enter the chaotic motion state, and its vibration center is easy to deviate from the equilibrium position and produce large displacement when the maglev system is in the negative stiffness state. The control results show that the control strategy combining the cubic displacement feedback nonlinear control with the PD linear control can make the maglev system exhibit better vibration characteristics under positive and quasi-zero stiffness.

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A modified electromagnetic force calculation method has high accuracy and applicability for EMS maglev vehicle dynamics simulation

Cited by 4 publications

References 10 publications

Dynamic model of high-speed maglev train-guideway bridge system with a nonlinear suspension controller

Dynamic model of high-speed maglev train-guideway bridge system with a nonlinear suspension controller

Metamodel of Magnet-rail Relationship of EMS Maglev Train Based on BP Neural Network

Nonlinear Vibration and Stiffness Characteristics Analysis of Maglev Train Based on Cubic Displacement Control

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