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Dynamic Interaction Analysis between Maglev Train with Airgap Control Algorithm Based on Acceleration Feedback and Guideway
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 Title & Authors
Dynamic Interaction Analysis between Maglev Train with Airgap Control Algorithm Based on Acceleration Feedback and Guideway
Lee, Jin Ho; Kim, Sung Il;
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Since the variations of electromagnetic suspension forces of maglev trains have close relations with the acceleration of the levitated bodies, it is basic to control the levitation forces using the measured acceleration of vehicles. In this study, an airgap control algorithm based on acceleration feedback is applied to maglev trains and a dynamic analysis method is developed considering maglev train-guideway interaction. Using the developed method, dynamic behaviors of a maglev train-guideway interaction system are investigated. It is observed from the analysis that the current design guidelines can be satisfied when the proposed airgap control algorithm is employed. Using the contorl algorithm, the current guidelines can be improved and economical maglev railway guideway structures can be designed.
maglev railway;acceleration feedback;airgap control algorithm;vehicle-structure interaction;incheon airport maglev railway;
 Cited by
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