A study on logarithmic convergence law smooth mode control of magnetic levitation train levitation system

The sliding mode control strategy effectively controls typical nonlinear systems such as the maglev train suspension system. However, most of the previous simulation analyses are only for a single suspension module, without considering the problem of uneven vehicle mass distribution. The sliding mode control strategy has a good control effect on typical nonlinear systems such as maglev train suspension systems. Still, most of the previous simulation analyses are only for a single suspension module, without considering the problem of uneven vehicle mass distribution. Therefore, in this paper, the Simpack-Simulink joint simulation model is established according to the actual parameters of the maglev train. After test verification, the maximum error of the suspension gap of the model is 4.5%, which is more suitable for reality. At the same time, the traditional sliding mode control is often accompanied by the Phenomenon of "shaking," and the standard vibration inhibition method will weaken the control effect of the maglev train. At the same time, the traditional sliding mode control is often accompanied by the Phenomenon of "shaking," and the standard vibration inhibition method weakens the system's control effect. In this paper, based on optimizing the sliding mode control strategy, the convergence speed of the traditional system is increased by more than 10%, and the control accuracy is increased by more than 35%.