Dynamic analysis of high-speed maglev train–bridge system with fuzzy proportional–integral–derivative control

Abstract

Several factors could affect the function of the electromagnet control system when a high-speed maglev train runs over a bridge. To enhance the robustness of the electromagnet control system to the high-speed maglev train running over the bridge, a fuzzy active control rule is introduced into the currently used proportional–integral–derivative (PID) control system. Numerical analyses are then conducted with a high-speed maglev train passing through a series of simply supported beams. The numerical results with the fuzzy PID active control are compared with the maglev train–bridge system with the equivalent linearized electromagnetic forces. The comparative results show that the introduction of the fuzzy PID control system has improved the comfort of the maglev train and that the overall dynamic response of the bridge is reduced. There is an obvious time delay for the maximum dynamic response of the bridge to the high speed of the train.

Performance evaluation of the suspension system on Maglev trains based on measurement data

“…For the maglev train suspension system, preliminary research mainly focused on dynamic stability [6][7][8], running smoothness [9][10][11] and advanced control algorithms [12][13][14][15][16]. In recent years, the performance analysis and evaluation methods of suspension control systems have begun to attract special attention of researchers.…”