Three-Dimensional Numerical Analysis and Optimization of Electromagnetic Suspension System for 200 km/h Maglev Train Considering Eddy Current Effect

Ding, Junjun; Yang, Xin; Li, Zhiqiang; Dang, Ning

doi:10.1109/access.2018.2876599

Cited by 49 publications

(21 citation statements)

References 21 publications

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“…As a promising transportation technology, low-speed maglev train has the advantages of low vibration and noise, no friction loss, environmental friendliness, and low maintenance costs [1][2][3][4][5]. In the past decades, several studies and demonstration projects have been carried out on medium-low speed maglev train, such as the Korean Urban Transit Maglev (UTM) [3], and the Japanese High-speed Surface Transport (HSST) [4].…”

Section: Introductionmentioning

confidence: 99%

“…In the past decades, several studies and demonstration projects have been carried out on medium-low speed maglev train, such as the Korean Urban Transit Maglev (UTM) [3], and the Japanese High-speed Surface Transport (HSST) [4]. Changsha Maglev Express (CME), in particular, which was officially put into operation in 2016 in China, is the longest low-speed maglev commercial demonstration line in the world [5].…”

Section: Introductionmentioning

confidence: 99%

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A Levitation Condition Awareness Architecture for Low-Speed Maglev Train Based on Data-Driven Random Matrix Analysis

et al. 2020

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Modern low-speed maglev trains typically use multi-node decentralized levitation control modules, which results in a complex levitation control system with coupling interaction. Conducting systematic levitation condition awareness of the levitation control system is still a promising challenge. In this paper, under the hypothesis of levitation residuals following normal distribution, a levitation condition awareness architecture for the levitation control system is proposed based on data-driven random matrix analysis. The proposed architecture consists of an engineering procedure followed by a cascaded mathematical procedure. In the decentralized engineering procedure, the data-driven modeling for individual levitation control modules is achieved by nonlinear autoregressive modeling with an exogenous input neural network, and the unknown parameters are identified by a modified combinatorial genetic algorithm. On this basis, high-dimensional analysis of streaming residual random matrices for the levitation control system is conducted aided by large-dimensional random matrix theory, and the control limits of the constructed indicators are well-designed using the theorical distributions. Based on the comparative analysis of the experimental datasets, the proposed awareness architecture is verified to show the effectiveness of the systematic condition evaluation of the levitation system, and incipient train-guideway interaction vibration abnormalities can be detected in a timely manner. INDEX TERMS Low-speed maglev train, levitation control modeling, levitation condition awareness, random matrix analysis

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Levitation Condition Awareness Architecture for Low-Speed Maglev Train Based on Data-Driven Random Matrix Analysis

et al. 2020

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“…Suspension electromagnet is one key component of the low-speed maglev train, which makes the maglev train stable, suspending through conversing electrical energy to magnetic energy [1,2]. Essentially, the SEM is a time-varying inductor, whose impedance would become capacitive at the natural frequency, owing to the existence of the stray capacitance [3].…”

Section: Introductionmentioning

confidence: 99%

A Novel Analytic Method to Calculate the Equivalent Stray Capacitance of the Low-Speed Maglev Train’s Suspension Electromagnet

et al. 2020

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The suspension electromagnet (SEM) is one of the most critical components of the low-speed maglev train to achieve the stable suspension and non-contact operation with the track. Therefore, it is valuable for optimizing the maglev system to study the characteristics of the SEM. This paper proposes a novel analytic method to calculate the equivalent stray capacitance of the SEM efficiently. It considers the capacitances inside the winding (turn to turn and layer to layer) and between the winding and core. Firstly, utilizing the compensation analytic method (CAM) calculates the static capacitances to reduce the calculation error, and the results of the CAM have significant improvement comparing with that of the traditional analytic method (TAM). Secondly, the analytical formula of the core floating potential is derived based on the partial capacitance theory, which has a 2.1% relative error to the finite element method (FEM). Finally, the experiment results of the SEM of a test rig prove the accuracy and efficiency of the proposed method.

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“…First, the heavy electromagnet and the ancillary equipment needed for active control, such as signal detection, a power supply, and a control system, make the whole system complex, especially because the space in the evacuate tube is limited. Second, the obvious eddy current in the ferromagnetic rail reduces the levitation force and provides increasing current and heat in the electromagnet [19,20], however the heat dissipation is not an easy thing to achieve in an evacuated tube. Third, high speed operation makes real-time control hard and high accuracy is not easy achieve.…”

Section: Introductionmentioning

confidence: 99%

Study of a Null-Flux Coil Electrodynamic Suspension Structure for Evacuated Tube Transportation

Guo

Zhou

2019

Symmetry

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This paper focuses on the study of a null-flux coil electrodynamic suspension structure for evacuated tube transportation (ETT). A Maglev system in evacuated tubes is a promising concept for high speed transportation systems, and the design of levitation structure is a critical part among the subsystems. The whole system with functions of levitation, guidance, and propulsion is proposed in this paper, and the utilization of magnetic fields from both sides of magnets makes the system simple. The figure eight shaped null-flux coil suspension structure is adopted to provide a high levitation-drag ratio. The equivalent circuit model of the null-flux coil structure is established by employing the dynamic circuit theory. Based on the determination of the mutual inductance between the null-flux coil and the moving magnet, electromagnetic forces are calculated through an energy method. The validity of the dynamic circuit model is verified by comparing the calculation with the 3D finite element analysis (FEM) results, and the working principle of the null-flux coil structure is described. The effects of vehicle speed and the time constant of the coil on the electromagnetic forces are studied at the bottom level of force impulses in one coil and verified by FEM simulation. The characteristics of electrodynamic forces as functions of the magnet speed, the vertical displacements, and the lateral displacements are investigated based on the dynamic circuit theory, and the levitation-drag ratio is compared with that of plate type structure. The results show that the proposed structure is a promising option for application in ETT, and the following study will focus on the dynamic research of the electrodynamic suspension (EDS) system.

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Three-Dimensional Numerical Analysis and Optimization of Electromagnetic Suspension System for 200 km/h Maglev Train Considering Eddy Current Effect

Cited by 49 publications

References 21 publications

A Levitation Condition Awareness Architecture for Low-Speed Maglev Train Based on Data-Driven Random Matrix Analysis

A Levitation Condition Awareness Architecture for Low-Speed Maglev Train Based on Data-Driven Random Matrix Analysis

A Novel Analytic Method to Calculate the Equivalent Stray Capacitance of the Low-Speed Maglev Train’s Suspension Electromagnet

Study of a Null-Flux Coil Electrodynamic Suspension Structure for Evacuated Tube Transportation

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