Research On The Antiskid Control Of Train Operation

Train anti-slip control system is an important component of the train operation control. Whether the design of anti-skid control algorithm is reasonable and effective or not directly affects the safety, comfort, parking accuracy, etc. At the same time, the high-speed train requires the accurate following control of position and speed. This paper explores the synthetic control approach of adaptive following control and anti-slip control.Firstly, the adhesion theory is explored. According to the adhesion mechanism, the relationship is analyzed among adhesive coefficient, speed and creep rate in the adhesive characteristic curve. The three stages of high-speed slip process are analyzed, and the calculation model of adhesive force is establishedSecondly, the factors are explored about the running resistances, relevant uncertainty variables, and mutual effects between front and back wheels during the train operation process. Based on these aspects and combined the calculation model of adhesive force, the differential equation of train operation dynamics is formulated. Then, the recursive estimation approach of least squares with forgetting factors is designed to identify the unknown parameters during train operation. The identified results are input into the adaptive controller so that the identification of train dynamics model and adaptive control becomes more reliable and accurate.Finally, the adaptive controller is designed Based on the design method of adaptive control using Lyapunov stability, the adaptive law and control law are designed so as to ensure the asymptotic stability of train control. The identification of uncertain parameters is synthetically obtained through adaptive law and the recursive estimation of least squares with forgetting factors, and therefore the accurate data is provided for the estimation of optimal adhesive coefficients and torque control. The S-function in Simulink is utilized to accomplish the modeling of controlled object and adaptive control algorithm. Tracking reference displacement and speed trajectories under different rail surfaces demonstrates that the designed adaptive control algorithm can avoid the disturbances of time-varying parameters, accomplish the trajectory tracking control, and improve the anti-skid performance of high-speed trains.