Nonlinear vibration and control of maglev vehicle-switch beam coupling system

Li, Zhongji; Dong, Hao; Chen, Zhixian; Lin, Hao; Yang, Jing

doi:10.1177/16878140211044049

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…PID control can also be used in nonlinear models. By addressing the issues of stability loss and nonlinear coupled vibration in maglev systems, Li et al [78] utilized the tuned mass damper (TMD) control method to prevent the Hopf bifurcation in vehicle-bridge vibration. Subsequently, they employed a conventional PID controller to control the maglev levitation system.…”

Section: Nonlinear Pid Control Algorithmsmentioning

confidence: 99%

“…Some researchers used extra controllers to suppress the vibration. Li et al [78] adopted a tuned mass damper (TMD) installed at the guideway to avoid the Hopf bifurcation phenomenon of the train-switch vibration. Wang et al [135] introduced a novel approach to address resonant phenomena encountered by a vehicle traversing guideway girders.…”

Section: Vehicle-guideway Vibration Suppression Control Designmentioning

confidence: 99%

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A Review of Levitation Control Methods for Low- and Medium-Speed Maglev Systems

Zhu,

Wang,

2024

Buildings

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Maglev transportation is a highly promising form of transportation for the future, primarily due to its friction-free operation, exceptional comfort, and low risk of derailment. Unlike conventional transportation systems, maglev trains operate with no mechanical contact with the track. Maglev trains achieve levitation and guidance using electromagnetic forces controlled by a magnetic levitation control system. Therefore, the magnetic levitation control system is of utmost importance in maintaining the stable operation performance of a maglev train. However, due to the open-loop instability and strong nonlinearity of the control system, designing an active controller with self-adaptive ability poses a substantial challenge. Moreover, various uncertainties exist, including parameter variations and unknown external disturbances, under different operating conditions. Although several review papers on maglev levitation systems and control methods have been published over the last decade, there has been no comprehensive exploration of their modeling and related control technologies. Meanwhile, many review papers have become outdated and no longer reflect the current state-of-the-art research in the field. Therefore, this article aims to summarize the models and control technologies for maglev levitation systems following the preferred reporting items for systematic reviews and meta-analysis (PRISMA) criteria. The control technologies mainly include linear control methods, nonlinear control methods, and artificial intelligence methods. In addition, the article will discuss maglev control in other scenarios, such as vehicle–guideway vibration control and redundancy and fault-tolerant design. First, the widely used maglev levitation system modeling methods are reviewed, including the modeling assumptions. Second, the principle of the control methods and their control performance in maglev levitation systems are presented. Third, the maglev control methods in other scenarios are discussed. Finally, the key issues pertaining to the future direction of maglev levitation control are discussed.

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Section: Nonlinear Pid Control Algorithmsmentioning

confidence: 99%

Section: Vehicle-guideway Vibration Suppression Control Designmentioning

confidence: 99%

A Review of Levitation Control Methods for Low- and Medium-Speed Maglev Systems

Zhu,

Wang,

2024

Buildings

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

et al. 2023

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Control Methods for Levitation System of EMS-Type Maglev Vehicles: An Overview

Sun

et al. 2023

Energies

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As new advanced vehicles, electromagnetic suspension (EMS)-type maglev trains have received wide attention because of their advantages such as high speed, no mechanical friction, low noise, low cost and energy consumption, strong climbing ability, and green environmental protection. The open-loop instability is one of the key points and difficulties for the levitation control systems of maglev trains. The closed-loop feedback control method must be applied to realize stable levitation. However, there are currently many levitation control methods just in theory. Considering their advantages and disadvantages, it is a major demand for maglev trains to select efficient, stable, applicable, and cost-saving methods to improve their dynamic performance and safety, which motivated this review. First, the current status of research on maglev trains is introduced in this paper, including types, system components, and research modes in various countries, followed by an analysis of the levitation control methods for EMS-type maglev trains. Then, the technical characteristics of the levitation control systems are described according to the basic principles of levitation systems, model building, mathematical derivation, and control objectives. Next, three kinds of typical levitation control methods are reviewed, namely, linear state feedback methods, nonlinear control methods, and intelligent control methods, according to their improvements and applications. Lastly, we summarize and evaluate the advantages and disadvantages of the three methods, and future developments of levitation control are suggested.

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Nonlinear vibration and control of maglev vehicle-switch beam coupling system

Cited by 3 publications

References 15 publications

A Review of Levitation Control Methods for Low- and Medium-Speed Maglev Systems

A Review of Levitation Control Methods for Low- and Medium-Speed Maglev Systems

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

Control Methods for Levitation System of EMS-Type Maglev Vehicles: An Overview

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