Air Gap Control Simulation of Maglev Vehicles with Feedback Control System

Kim, Ki‐Jung; Han, Hyung-Suk; Yang, Seok-Jo

doi:10.14257/ijca.2013.6.6.38

Cited by 7 publications

(2 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Kim et al 9 established a levitation-gap simulation model of an EMS-type maglev vehicle. It turned out that the bias of the levitation gap is within AE3 mm; the levitation-gap change process in the ordinary vehicle operation state could be predicted accurately and verified by tests.…”

Section: Introductionmentioning

confidence: 99%

Effect of different connection modes of electromagnets on the performance of levitation control

Zhang

Gao

2018

Proceedings of the Institution of Mechanical Engineers, Part F:

View full text Add to dashboard Cite

In medium-and low-speed maglev vehicles, each levitation module contains four electromagnetic coils. In order to find a better coil control mode, the difference between the series connection in the control mode of the first and third coils (M1,3) and the series connection in the control mode of the first and second coils (M1,2) was analysed in this paper. By applying a malposition excitation of þ2 mm in the vertical direction of the track for comparing the dynamic adjustment processes of the levitation module (including the vertical motion and rotation) in the two control modes, according to the current fluctuation in the coils in the above processes, the extreme position parameters and the mean current values during the adjustment were obtained. The adjustment process was analysed based on the instantaneous levitation force and the torque of the plate at the extreme positions in different control modes; the performance of the levitation module in the adjustment process and during the fluctuation of the coil current was analysed. The results indicate that for the dangerous ends at the two extreme positions in the selected working condition, the vertical displacement in M1,3 reduces by 11.11 and 48.98%, respectively, compared with that in M1,2. In the whole adjustment process, the mean current of the front and rear controllers in M1,3 reduces by 0.25 and 0.36 A, respectively. Therefore, it has been concluded that with regard to the relative safety and coil heating during vibration of the levitation module, M1,3 performs better than M1,2. Keywords Medium-and low-speed maglev vehicle, control mode, air-gap magnetic flux density, vertical motion, mean current Date

show abstract

Section: Introductionmentioning

confidence: 99%

Effect of different connection modes of electromagnets on the performance of levitation control

Zhang

Gao

2018

Proceedings of the Institution of Mechanical Engineers, Part F:

View full text Add to dashboard Cite

show abstract

“…To overcome the challenges brought by 1)-3), researchers proposed various control strategies in the past. For example, Kim et al [7] proposed a considerably detailed dynamic modeling technique to accurately predict the air gaps of the magnetic train under consideration. Sun et al [4] put the vibration information of the guideway into the designed controller, and presented a novel controller to effectively eliminate the coupling vibration.…”

Section: Introductionmentioning

confidence: 99%

Levitation chassis dynamic analysis and robust position control for maglev vehicles under nonlinear periodic disturbance

Qiang¹,

Li²,

Sun³

et al. 2017

J. vibroeng.

View full text Add to dashboard Cite

In this paper, an experiment for decoupling the dynamic behavior of the levitation chassis of maglev vehicle with four electromagnetic suspension (EMS) modules is implemented, which validated that the stable suspension of maglev vehicle can be achieved by controlling individual EMS modules. Then, a dynamic model for single EMS module is established. A PD controller is designed to control the vertical position of the maglev vehicle. Simulations illustrate that the robustness of the controller is weak against the periodic disturbance. To improve the robustness of the controller, a nonlinear control law for disturbance rejection is applied by combining with a periodic disturbance estimator with an adaptive notch filter, which is capable of compensating exogenous nonlinear periodic disturbance. Different from using the existing control laws, the structure, parameters and period of the disturbance is not required. Moreover, the controller designed in this work satisfies the requirement of unidirectional force input. Simulation results are presented to demonstrate the excellent dynamic performance with the proposed robust controller.

show abstract

Dynamic Analysis of High Speed Maglev Vehicle-guideway System Using SIMULINK

Talukdar

2016

Procedia Engineering

View full text Add to dashboard Cite

Air Gap Control Simulation of Maglev Vehicles with Feedback Control System

Abstract: Abstract

Cited by 7 publications

References 4 publications

Effect of different connection modes of electromagnets on the performance of levitation control

Effect of different connection modes of electromagnets on the performance of levitation control

Levitation chassis dynamic analysis and robust position control for maglev vehicles under nonlinear periodic disturbance

Dynamic Analysis of High Speed Maglev Vehicle-guideway System Using SIMULINK

Contact Info

Product

Resources

About