Dynamic Analysis of a High-Speed Train

Leva, Sonia; Morando, A.P.; Colombaioni, P.

doi:10.1109/tvt.2007.901858

Cited by 33 publications

(12 citation statements)

References 8 publications

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“…The creep force applied on a wheel creep F is computed based on the distribution of shear stresses on the wheel-rail contact surface (Polach, 1999(Polach, , 2005Leva, Morando, and Colombaioni, 2008;Colombo et al, 2014;Li et al, 2007). In this regard, x and y components of the creep force have been taken to be proportional to the longitudinal creep and lateral creep, respectively.…”

Section: Frictional Forces Exerted On the Wheelsmentioning

confidence: 99%

Adaptive Fuzzy Sliding-Mode Control of Wheel Slide Protection Device for ER24PC Locomotive

Mousavi

Markazi

Masoudi

2017

Lat. Am. j. solids struct.

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Wheel Slide Protection Devices (WSPD) are employed in railway vehicles to maximize the average of the possible frictional braking force, which is a nonlinear function of the slip ratio of the wheel sets. In this paper, to control the WSPD, a low-order model is presented and un-modeled dynamics are considered as uncertainties. Due to the nonlinear dynamics of the system and presence of uncertainties, Adaptive Fuzzy Sliding-Mode Control (AFSMC) is employed to regulate the slip ratio towards the desired value. The proposed controller employs a Pulse Width Modulation (PWM) technique to generate the braking torque. The second Lyapunov theorem is used to prove the closed-loop asymptotic stability. In the simulations, the switching dynamics of WSPD is considered and the multi-body dynamics method is used for modeling the longitudinal dynamics of ER24PC locomotive. The obtained results reveal that by using the AFSMC method, the slip ratios of wheel sets converge to the reference values. Unlike the conventional method, in which the fluctuations of slip ratio diverge near the stopping time, simulation studies reveal that with the AFSMC method, the stopping time of the locomotive and the fluctuation amplitude of the slip ratios are reduced.

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Section: Frictional Forces Exerted On the Wheelsmentioning

confidence: 99%

Adaptive Fuzzy Sliding-Mode Control of Wheel Slide Protection Device for ER24PC Locomotive

Mousavi

Markazi

Masoudi

2017

Lat. Am. j. solids struct.

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“…New channel estimation technique was proposed for long-term evolution (LTE) systems in the HSR environment in [2]. Moreover, formalization of a complete dynamic model that represents the dynamic coupling of electrical and mechanical phenomena dedicated to the HSR systems was presented in [3]. New system architectures based on radio over fiber was also proposed in [4], which increases throughput and decreases handovers.…”

Section: Introductionmentioning

confidence: 99%

High-Speed Railway Wireless Communications: Efficiency Versus Fairness

Dong

Fan

Letaief³

2014

IEEE Trans. Veh. Technol.

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High speed railways (HSRs) have been deployed widely all over the world in recent years. Different from traditional cellular communication, its high mobility makes it essential to implement power allocation along the time. In the HSR case, the transmission rate depends greatly on the distance between the base station (BS) and the train. As a result, the train receives a time varying data rate service when passing by a BS. It is clear that the most efficient power allocation will spend all the power when the train is nearest from the BS, which will cause great unfairness along the time. On the other hand, the channel inversion allocation achieves the best fairness in terms of constant rate transmission. However, its power efficiency is much lower. Therefore, the power efficiency and the fairness along time are two incompatible objects. For the HSR cellular system considered in this paper, a trade-off between the two is achieved by proposing a temporal proportional fair power allocation scheme. Besides, near optimal closed form solution and one algorithm finding the ǫ-optimal allocation are presented. Index Termshigh speed railway communication, power allocation, channel service, proportional fairness along time.This paper has been published by IEEE Trans. on Veh.

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“…In [3] the electric and the mechanical models of a high-speed train were integrated. To facilitate the modeling task of Multi-Domain physical systems, special software were developed.…”

Section: Introduction Nowadays Electric Vehicles (Ev) And/or Hybrimentioning

confidence: 99%

Multi-Domain Model for Electric Traction Drives Using Bond Graphs

Silva¹,

Barrera²,

Angelo³

et al. 2011

Journal of Power Electronics

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In this work the Multi-Domain model of an electric vehicle is developed. The electric domain model consists on the traction drive and allows including faults associated with stator winding. The thermal model is based on a spatial discretization. It receives the power dissipated in the electric domain, it interacts with the environment and provides the temperature distribution in the induction motor. The mechanical model is a half vehicle model. Given that all models are obtained using the same approach (Bond Graph) their integration becomes straightforward. This complete model allows simulating the whole system dynamics and the analysis of electrical/mechanical/thermal interaction. First, experimental results are aimed to validate the proposed model. Then, simulation results illustrate the interaction between the different domains and highlight the capability of including faults.

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Dynamic Analysis of a High-Speed Train

Cited by 33 publications

References 8 publications

Adaptive Fuzzy Sliding-Mode Control of Wheel Slide Protection Device for ER24PC Locomotive

Adaptive Fuzzy Sliding-Mode Control of Wheel Slide Protection Device for ER24PC Locomotive

High-Speed Railway Wireless Communications: Efficiency Versus Fairness

Multi-Domain Model for Electric Traction Drives Using Bond Graphs

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