Abstract
The maglev train is the strongest candidate for the next-generation railroad system. Among the advantages, lesser vibration and noise due to the non-contact mechanism and the eliminated possibility of derailment are noticeable merits for a high-speed train. It should be noted that the air gap is affected by dynamic behaviors of the maglev train and guideway. Their behaviors also influence to the air gap. Therefore, accurate and precise physical model for the maglev train-guideway interaction system including a control algorithm of the air gap is indispensable for the reliable air-gap control and maglev-train operation, especially for the safe and reliable operation of a maglev train. In the present study, dynamic responses of an urban maglev train-guideway interaction system including a control algorithm are rigorously investigated. The train is represented by a mass-damper-spring system which is levitated electro-magnetically. The guideway is modeled by a three-dimensional frame structure. The electromagnetic forces between the train and guideway are assumed to have small fluctuations from their static values and linearized with respect to the values. In order to control air gaps for levitation, the active control algorithm which was used for the urban transit maglev system in Korea is employed. Dynamic governing equations for the maglev train-guideway interaction system including the control algorithm are derived. Dynamic responses of the system are examined using the governing equations. These analytical results are also verified with the comparison of field measurement tests at Incheon Airport Maglev Railway.
