Nonlinear dynamic analysis of Maglev Vehicle Based on flexible guideway and random irregularity

Xu, Junqi; Chen, Chen; Sun, Yougang; Ji, Wen; Lin, Guobin

doi:10.3233/jae-180051

Cited by 9 publications

(2 citation statements)

References 9 publications

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“…Min et al [131] proposed a 3D mathematical maglev system model of the UTM vehicle, compared its dynamic performance with a 2D model, and analyzed the effect of the lateral and vertical track irregularities. For the single electromagnet-guideway coupling model [50,132], full vertical dynamic coupling vibration model of an HSST type low-speed maglev train [133], and mathematical model of the low-speed maglev test car of Tongji University [86,134], the effect of the time-delay [85,133], levitation current perturbation, and control gain [133] on vibration behavior were studied. The Hopf bifurcation theory was adopted by researchers to analyze the mechanism of a fundamental theory of vehicle-guideway coupling vibration [50,86].…”

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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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 Meanwhile, many review papers have become outdated and no longer reflect the current state-of-the-art research in the field.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: 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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“…The random track irregularity excitation is selected as shown in Fig.10 [16], [17], [19]. Assuming that the track is subject to random excitation, the track irregularity will occur.…”

Section: ) Incentive Of Track Irregularitymentioning

confidence: 99%

Sliding Mode Robust Adaptive Control of Maglev Vehicle’s Nonlinear Suspension System Based on Flexible Track: Design and Experiment

Chen

et al. 2019

IEEE Access

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The suspension system of Maglev vehicle needs strong robustness and anti-jamming ability in the process of operation and fluctuation control. In order to solve the open-loop instability and strong nonlinearity of the mechanical equation of the suspension system of the Maglev vehicle, the non-linear dynamic equation is established. At present, the research based on the single electromagnet and the rigid track is the most common. However, based on this method, it is impossible to study the coupled vibration caused by track factors. Therefore, based on the dynamic equation of a single span simply supported beam of flexible track and the non-linear equation of the suspended electromagnet itself, an overall control model is needed to discuss the control strategy. Based on this dynamic model, the singularities of the system are solved according to Hurwitz criterion, and the characteristic equation corresponding to the Jacobian matrix is obtained. The stability analysis shows that the system is unstable. At the same time, the necessity of using a feedback control method to control the air gap has been proved. On this basis, a sliding mode adaptive state feedback controller for the maglev system is designed based on the RBF network approximation principle. The corresponding simulation and experimental results are given. The simulation and experimental results show that the controller can ensure the vehicle's stable suspension and effectively suppress external interference. Compared with the traditional PID and fuzzy controllers, the controller can guarantee a faster dynamic response, stronger robustness, and smaller overshoot while considering the flexible track and external disturbances. INDEX TERMS Maglev system, flexible track, coupled vibration, RBF, sliding mode adaptive control.

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Response and reliability of suspension system under stochastic and periodic track excitations by path integral method

Jia,

Luo,

et al. 2023

International Journal of Non-Linear Mechanics

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Nonlinear dynamic analysis of Maglev Vehicle Based on flexible guideway and random irregularity

Cited by 9 publications

References 9 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

Sliding Mode Robust Adaptive Control of Maglev Vehicle’s Nonlinear Suspension System Based on Flexible Track: Design and Experiment

Response and reliability of suspension system under stochastic and periodic track excitations by path integral method

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