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The electromagnetic suspension (EMS) maglev train is driven by a linear synchronous motor with a long primary and a short secondary. The stator sections adopt a segmented power supply method. During the operation of the train, the feeder cable parameters change with the length of the feeder cable. To improve the traction control performance of the linear motor, the parameters of the feeder cable need to be identified online. In this paper, the mathematical model of the long-stator linear synchronous motor in the double-ended power supply mode is first established and then based on the mathematical model of the power supply system, an adaptive observer is constructed, and the adaptive law for estimating the resistance of the feeder cable is derived. A simulation model is built in Simulink, and the simulation results show that the algorithm proposed in this paper is correct and effective.

Maglev train， Linear Synchronous Motor， Parameters Identification， Adaptive Observer