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The controlled air gap of the electromagnetic levitation system of maglev train is generally 8-10mm, which makes the vehicle/guideway coupling problem prominent. In practice, it is found that the stability of the magnetic levitation system is affected by guideway irregularities, and the levitation gaps show different dynamic characteristics, which is closely related to the sensor positions. The purpose of optimization of the dynamic performance of the electromagnetic levitation system is to reduce the dynamic deviation amplitude of the levitation gaps. Firstly, a linear model of the module levitation system with guideway is proposed. On this basis, the discrete frequency excitation method is used to obtain the dynamic amplitude response of the levitation gaps at different guideway wavelengths and vehicle speeds. Then, an optimization framework based on sensor positions is proposed. Based on this framework, the optimal sensor position at different speeds is obtained. The simulation results show that the optimal scheme can effectively reduce the deviation amplitude and the difference between the two levitation gaps, thus improving the dynamic performances of the electromagnetic levitation system.

Dynamic Performance Optimization of Electromagnetic Levitation System Considering Sensor Position