Open Access
Review of dynamic stability of repulsive-force maglev suspension systems
TLDR
In this paper, the authors summarize information that has been accumulated worldwide and that is relevant to dynamic stability of repulsive-force maglev systems, assimilating that information, and gaining an understanding of the factors that influence that stability.Abstract:Â
Vehicle dynamics and the need to satisfy ride quality requirements have long been recognized as crucial to the commercial success of passenger carrying transportation systems. Design concepts for maglev systems are no exception. The work reported here was undertaken with the intention of summarizing information that has been accumulated worldwide and that is relevant to dynamic stability of repulsive-force maglev systems, assimilating that information, and gaining an understanding of the factors that influence that stability. Included in the paper is a discussion and comparison of results acquired from some representative tests of large-scale vehicles on linear test tracks, together with analytical and laboratory-scale investigations of stability and dynamics of EDS systems. The paper also summarizes the R and D activities at Argonne National Laboratory since 1991 to study the nature of the forces that are operative in an EDS system and the dynamic stability of such systems.read more
Citations
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Journal ArticleDOI
Review of maglev train technologies
Hyung-Woo Lee,Ki-Chan Kim,Ju Lee +2 more
TL;DR: In this article, the authors summarized Maglev train technologies from an electrical engineering point of view and assimilated the results of works over the past three decades carried out all over the world.
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Robust Dynamic Sliding-Mode Control Using Adaptive RENN for Magnetic Levitation System
TL;DR: A robust dynamic sliding mode control system using a recurrent Elman neural network (RENN) is proposed to control the position of a levitated object of a magnetic levitation system considering the uncertainties and some experimental results of tracking the various periodic trajectories demonstrate the validity of the proposed RDSMC.
Journal ArticleDOI
Nonlinear robust control design for levitation and propulsion of a maglev system
TL;DR: In this paper, a nonlinear robust control design for the levitation and propulsion of a magnetic levitation (maglev) system is presented, where the dynamics under consideration are nonlinear and contain uncertain dynamics including negative damping due to eddy currents.
Journal ArticleDOI
Intelligent Sliding-Mode Control Using RBFN for Magnetic Levitation System
TL;DR: An intelligent sliding-mode control system using a radial basis function network (SMCRBFN) is proposed to control the position of a levitated object of a magnetic levitation system to compensate the uncertainties including the friction force in this study.
Journal ArticleDOI
A parametric study on the dynamics of urban transit maglev vehicle running on flexible guideway bridges
TL;DR: In this article, the authors developed a numerical model for a dynamic interaction analysis of an actively controlled vehicle and flexible guideway structure and performed an investigation of the effect of vehicle and guideway characteristics on dynamic responses of low and medium speed maglev systems.
References
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Journal ArticleDOI
Review of maglev train technologies
Hyung-Woo Lee,Ki-Chan Kim,Ju Lee +2 more
TL;DR: In this article, the authors summarized Maglev train technologies from an electrical engineering point of view and assimilated the results of works over the past three decades carried out all over the world.
Proceedings ArticleDOI
Research on anticipatory route guidance
Kan Chen,S.E. Underwood +1 more
TL;DR: The industry-relevant basic research focus of the Michigan IVHS Program in the last two years is described, with an emphasis on the linkage among the various projects related to anticipatory route guidance, to generate practical guidelines for ATIS product development.
Journal ArticleDOI
Robust Dynamic Sliding-Mode Control Using Adaptive RENN for Magnetic Levitation System
TL;DR: A robust dynamic sliding mode control system using a recurrent Elman neural network (RENN) is proposed to control the position of a levitated object of a magnetic levitation system considering the uncertainties and some experimental results of tracking the various periodic trajectories demonstrate the validity of the proposed RDSMC.
Journal ArticleDOI
Nonlinear robust control design for levitation and propulsion of a maglev system
TL;DR: In this paper, a nonlinear robust control design for the levitation and propulsion of a magnetic levitation (maglev) system is presented, where the dynamics under consideration are nonlinear and contain uncertain dynamics including negative damping due to eddy currents.
Journal ArticleDOI
Intelligent Sliding-Mode Control Using RBFN for Magnetic Levitation System
TL;DR: An intelligent sliding-mode control system using a radial basis function network (SMCRBFN) is proposed to control the position of a levitated object of a magnetic levitation system to compensate the uncertainties including the friction force in this study.