An Experimental Validated Control Strategy of Maglev Vehicle-Bridge Self-Excited Vibration

Wang, Lianchun; Li, Jinhui; Zhou, Danfeng; Li, Jie

doi:10.3390/app7010038

Cited by 10 publications

(5 citation statements)

References 18 publications

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“…Based on the above analysis, the minimal model is presented in Fig. 1 6 , 10 , 40 . The loads of vehicle and passengers are equivalent to a weight force acting on the center of the electromagnetic mass.…”

Section: Motion Modelmentioning

confidence: 99%

Stochastic resonance analysis of a coupled high-speed maglev vehicle-bridge coupled system under bounded noise

2023

Sci Rep

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Coupled oscillations typically occur in maglev vehicle-bridge coupled systems excited by bounded noise caused by guideway irregularities. The paper employed Hamilton equations to derive the corresponding canonical transformation equations and determined the critical stable regions for two kinds of resonances using the largest Lyapunov exponents. The results show that the critical stable region between the excitation amplitude and the resonant frequency ratio is a valley shape when the system has external resonance only. When considering both internal and external resonances, the critical stable region between the excitation amplitude and resonant frequency ratio presents a small saddle shape. Energy transfers from the first to the second oscillator under with both internal and extrinsic resonance. As the guideway irregularities’ coefficients increase, the maximum Lyapunov exponents of the two conditions change from negative to positive, which means that the system varies from a stable state to instability.

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Section: Motion Modelmentioning

confidence: 99%

Stochastic resonance analysis of a coupled high-speed maglev vehicle-bridge coupled system under bounded noise

2023

Sci Rep

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“…Many researchers have tried to solve the vehicle-guideway coupled vibration problem from the perspective of control algorithm design. In [16], the influence of different signals on feedback control was studied, and it was found that using the gap signal directly in the displacement sensor increased the possibility of coupled vibration problems, while the gap signal, considering the state of the track beam, could effectively suppress the vibration. In [17], the mathematical model of the five-point suspension vehicle-guideway coupling system based on electromagnetic force control was established, the influence of the controller parameters on the vibration was analyzed, and a method to suppress the vibration by adjusting the controller parameters was found.…”

Section: Introductionmentioning

confidence: 99%

Research on Magnetic Suspension Control Scheme Based on Feedback Linearization under Low Track Stiffness

Zhang

Zhou

et al. 2022

Machines

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The problem of vehicle–guideway coupled self-excited vibration is common in maglev train systems, which has a serious impact on the stability of maglev trains. The lower the track stiffness, the more likely it is to occur, the greater the harm to the maglev system, and the greater the difficulty in suppressing the vibration. To solve this problem, many conventional control schemes rely on the estimation of electromagnetic forces. However, considering the magnetic leakage flux in the suspension air gap and other reasons, the empirical electromagnetic force model is inaccurate, which increases the difficulty of suspension control under low track stiffness. Therefore, a more accurate electromagnetic force model based on least squares fitting is proposed in this paper, which can estimate the electromagnetic force more accurately without increasing the computational cost. On this basis, a control scheme based on feedback linearization theory was designed, and the control effect was tested on an experimental platform with low track stiffness. The experimental results showed that the proposed control scheme could achieve stable suspension with low track stiffness and could effectively solve the vehicle–guideway coupled vibration problem with a strong anti-interference ability. The research in this paper is of great significance for solving the problem of vehicle–guideway coupled vibration under low track mass/stiffness, which is believed to be used in the light-weight girders in the next generation of commercial maglev systems. This work also has an important reference value for suspension control algorithms based on electromagnetic force feedback.

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“…Magnetic levitation (MAGLEV) systems utilize an electromagnetic force to control the system body position. Due to the beneficial properties, noise reduction, and high durability and reliability, there are number of industrial applications, such as bearing position control system, MAGLEV passenger train, and so on [1][2][3][4][5][6]. However, the position control problem for MAGLEV systems is not trivial because of the inherent open-loop instability, strong nonlinearity, and a wide-range of load variations [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Position Stabilizing Control with Active Damping Injection Technique for Magnetic Levitation Systems

Kim

2019

Electronics

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This proposal suggests a novel nonlinear position-stabilizing controller for magnetic levitation (MAGLEV) applications. The proposed scheme is devised by combining the active damping injection technique and disturbance observers (DOBs), considering the inherent nonlinear dynamics, as well as parameter and load variations. The convergence and performance recovery properties are obtained by analyzing the closed-loop dynamics, which is the main contribution. The numerical verification confirms a considerable closed-loop robustness improvement, compared with the cascade-type feedback-linearization controller.

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An Experimental Validated Control Strategy of Maglev Vehicle-Bridge Self-Excited Vibration

Cited by 10 publications

References 18 publications

Stochastic resonance analysis of a coupled high-speed maglev vehicle-bridge coupled system under bounded noise

Stochastic resonance analysis of a coupled high-speed maglev vehicle-bridge coupled system under bounded noise

Research on Magnetic Suspension Control Scheme Based on Feedback Linearization under Low Track Stiffness

Nonlinear Position Stabilizing Control with Active Damping Injection Technique for Magnetic Levitation Systems

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