Abstract
High-speed railway vehicles operate much faster than traditional railway vehicles. After a four-axle high-speed railcar is modeled, an analytical solution is employed in this paper to solve dynamic equations. According to this analytical solution, the coupling of four-axle high-speed railcar equations depends strictly on the adhesion coefficient. A novel parallel control strategy is then formulated to prevent wheels from slipping and track the desired velocity profile. The proposed control strategy includes feedback linearization and sliding mode controllers to achieve the desired performance. Finally, the simulation results indicated the effectiveness of the proposed control system in the high-speed railcar such that the tracking error is less than 12%.
Highlights
High-speed trains move faster than 200 km/h with respect to specific measures [1]
If the slip is exceeded, the acceleration time will increase, something which is undesirable in highspeed trains
Trains must work on schedule; every train needs a velocity profile tracker to reach each station at the appropriate time in accordance with the train station schedule
Summary
High-speed trains move faster than 200 km/h with respect to specific measures [1]. If the slip is exceeded, the acceleration time will increase, something which is undesirable in highspeed trains. Yongsong Wei et al [2] proposed a complete model of longitudinal dynamics for China’s high-speed train (CRH) and designed an MPC to track the desired velocity profile up to 80 m/s. Zhang et al [3] designed a sliding mode observer and a controller to control the velocity of a high-speed train.
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