Dynamic response analysis of high-speed maglev train-guideway system under crosswinds

Exposed to crosswinds, dynamic response of the train and the guideway are the important aspects in the design of the high-speed maglev transit system. Firstly, the aerodynamic characteristics of a maglev vehicle were tested through a wind tunnel test. The proportional-integral-derivative-acceleration (PIDA) control algorithm, which combines a proportional-integral-derivative (PID) controller and acceleration feedback, was used to adjust the levitation and guidance control system of the maglev train. The spatial analysis model of the wind-static suspension-maglev train-guideway (WSMG) system and wind-moved maglev train-guideway (WMMG) were established. Subsequently, the influences of average wind, fluctuating wind, wind speeds, and vehicle speeds on the dynamic response of the maglev system were analyzed. The results indicate that the PIDA controller can eliminate the steady-state error of the magnetic gap caused by crosswinds. Compared with the PDA controller, the PIDA controller can reduce approximately 40% of the lateral displacement of the vehicle body. The average wind only changes the equilibrium position of the train, and the fluctuating winds and track irregularities are the significant cause for the vibration of the maglev train-guideway system. The lateral vibration of the vehicle is more sensitive to the wind velocity. The high-speed maglev train should stop running when the wind speed exceeds 30 m/s. ?????????????????????????????????????????-?????????,??,????-??????-???(WSMG)??-??????-???(WMMG)???????????,??????????????????????????????????-??-??(PID)???????????????-??-??-???(PIDA)???????????,?????????????????????????????????: PIDA ?????????????????????,?????40% ???????; ?????????????,???????????????-???????????; ?????????????????,?????30 m/s ?,????????????

Automated summary

This study focuses on the dynamic response of a high-speed maglev transit system under crosswind conditions. The aerodynamic characteristics of the maglev vehicle were tested in a wind tunnel, and a PIDA control algorithm was used to adjust the levitation and guidance control system. The effects of wind speeds, vehicle speeds, and track irregularities on the system's dynamic response were analyzed.