High Speed Trains Adhesion Integrated Anti-skid Control Method

As the train speeds continue to increase,it is easy to cause the wheels to slip or even idling,which seriously affects the safety of high-speed train operation.Therefore,it is of great significance to study an optimal adhesion anti-skid control strategy with creep state constraints.In the design of train anti-skid control algorithm,it is closely related to the following important aspects: The first problem to be solved is the problem that the speed of the locomotive body is difficult to accurately measure in real time,and Creep rate(or creep speed)control is very dependent on it.Then the design of the train anti-skid controller should avoid the influence of the uncertain adhesion conditions on the anti-skid control in the train operation as much as possible to ensure the safe and stable operation of the train.And the problem of how to design a search algorithm that is expected to track the target is also urgently needed to be solved.That is,the actual adhesion work point of the train is gradually approached to track the desired adhesive work point.In order to solve the above problems,the following three aspects are mainly carried out:(1)For the problem that the speed of the high-speed train is difficult to measure,an algorithm based on EKF(Extended Kalman Filter)is proposed to take wheel and rail dynamics and locomotive.Based on the wheel-rail dynamics and the locomotive adhesion model,the EKF is used to approximate the wheelset speed and the vehicle body speed of the locomotive.(2)For the anti-skid and stability problems in high-speed train operation,this paper proposes a global anti-skid control strategy for the train.The global anti-skid control of the train is realized by designing a hybrid controller switching,and the asymmetric Barrier Lyapunov function is introduced in the design of the controller to ensure the stability of the train in the feasible adhesion area.(3)For the acquisition of the desired tracking target,a variable step size search algorithm is designed,and a sliding mode observer is used to approximate the sticking state between the wheel and rail.It is used to search the expected creep speed of the train under the current road condition,and then achieve the expected anti-skid control target.Theoretical analysis and simulation experiments verify the stability and effectiveness of the algorithm,achieve the expected control objectives,and ensure the safe operation of the train.In addition,this paper summarizes the main research contents,shortcomings and the next research plan.