PID Control to Maglev Train System

Liu, Hengkun; Zhang, Xiao; Wen-sen, Chang

doi:10.1109/iis.2009.24

Cited by 61 publications

(37 citation statements)

References 3 publications

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“…Figure 3. The effect of δ on the time-constant Figure 3 represents the effect of δ on the time-constant T described in (7). The effect of δ on time-constant T is represented under different suspension gap.…”

Section: B Analysis Of the Traditional Methods Of Current-loopmentioning

confidence: 99%

“…By using current-loop strategy, the response speed of the current to the voltage is increased to more than ten times faster than that of the output suspension gap to the reference. Then the stabilization design of the whole system can be simplified as the control design of the position loop, as the current loop is fast enough to be ignored [1] [7].…”

Section: Analysis Of the Traditional Current-loopmentioning

confidence: 99%

“…Then the electric dynamics can be ignored when implementing stabilization design for the suspension system. As stated in [3], the resultant response speed of the electric dynamics of the suspension system is more than ten times faster than that of the Kinematic dynamics, which illustrates its effectiveness.…”

mentioning

confidence: 93%

“…This work focuses on performance analysis of traditional current-loop algorithm and the exploration of an adaptive current-loop algorithm, which can adjust its parameters according to the varieties of the suspension states [3] [4] [5].…”

mentioning

confidence: 99%

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Adaptive Current-Loop Design for an ElectroMagnetic Suspension System

Zhang

Liu

2011

2011 Fourth International Conference on Intelligent Computation Technology and Automation

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In this paper, the performance of the traditional linear current-loop strategy of a single-point Electromagnetic suspension system is analyzed and its disadvantages in application is pointed out. It is concluded that the time constant of the resultant voltage-current subsystem varies as the changes of the suspension states, which will destroy the condition of implementing model reduction by the method of current-loop and bad performance of the suspension system occurs in return. To guarantee the performance of the currentloop strategy, an adaptive current-loop is designed, the parameters of which can be adjusted automatically according to the suspension states of the system. Experimental results verify disadvantages of traditional current-loop strategy. And simulation is conducted to evaluate the performance of the proposed adaptive current-loop algorithm, the results of which illustrate that consistent performance can be obtained under different conditions of the suspension states, and it has better robustness compared with the traditional current-loop strategy. Keywords-adaptive control; current-loop; EMS maglev train I.INTRODUCTION ElectroMagnetic Suspension (EMS) is a kind of maglev techniques, utilizing the attractive force between the electromagnets on the vehicle and the ferromagnetic guideway for suspension. As it is proverbial, EMS system is inherently unstable. Suspension control is indispensable in this kind of maglev system. Also it is well-known that the model of EMS system is complicated and highly nonlinear, which makes the design of suspension controller for EMS system quite challenging [1].As a kind of transportation, there are strict performance requirements for the suspension controller of EMS system. To obtain a satisfying controller, more and more control strategies have been introduced, such as PID control, state feedback, optimal control, robust control, feedback linearization, and so on. However, some algorithms will results in a quite complex controller when applied to the original full-state mathematical model of the suspension system. For control implementation, methods of model reduction should be introduced to simplify the mathematical model of maglev suspension system. Hereinto current-loop strategy is an effective method of model reduction for maglev suspension system, and it has been widely utilized [1] [2]. The mathematical model of a maglev suspension system is usually described as the combination of electric dynamics and Kinematic dynamics. By using current-loop strategy, the response speed of the electric dynamics can be greatly

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Section: B Analysis Of the Traditional Methods Of Current-loopmentioning

confidence: 99%

Section: Analysis Of the Traditional Current-loopmentioning

confidence: 99%

mentioning

confidence: 93%

mentioning

confidence: 99%

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Adaptive Current-Loop Design for an ElectroMagnetic Suspension System

Zhang

Liu

2011

2011 Fourth International Conference on Intelligent Computation Technology and Automation

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“…Therefore an active suspension control system is essential in EMS. Many advanced control algorithms have been used to stabilize it, see, for example, [1], [3], [8], [12], [14], [20] and reference therein.…”

Section: Introductionmentioning

confidence: 99%

On the modelling complexity and utility of an EMS system

Zhang¹,

Tan

et al. 2010

49th IEEE Conference on Decision and Control (CDC)

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An EMS(ElectroMagnetic Suspension) system is a complex control system, consisting of many interacting subsystems. For control design, there is an obvious trade-off between design complexity and performance, just as there is a trade-off between model complexity and its utility. In this paper, we represent three mathematic models of an EMS system, and demonstrate theoretically that the model based on "half bogie" EMS subsystem captures the dynamics sufficiently to obtain a high performing controller. From a control design point of view, there is no need to model at the full bogie or multiple bogie system level, on the contrary.

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Adaptive Iterative Learning Control Based High Speed Train Operation Tracking Under Iteration‐Varying Parameter and Measurement Noise

Li¹,

Hou²

2015

Asian Journal of Control

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The iterative learning control (ILC)-based automatic train operation is proposed to address a high speed train (HST) tracking problem with consideration of the iteration-varying operation condition. The iteration-varying operation condition considered in this paper is the air resistance coefficient of an HST, which may be completely different at two consecutive operation processes due to different weather conditions. In addition, to alleviate the effect of measurement noise, the proposed method is modified further. The effectiveness of these two proposed methods are verified by theoretical analysis and numerical simulation.

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PID Control to Maglev Train System

Cited by 61 publications

References 3 publications

Adaptive Current-Loop Design for an ElectroMagnetic Suspension System

Adaptive Current-Loop Design for an ElectroMagnetic Suspension System

On the modelling complexity and utility of an EMS system

Adaptive Iterative Learning Control Based High Speed Train Operation Tracking Under Iteration‐Varying Parameter and Measurement Noise

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