A Safe and Reliable Anti-Lock Wheel Control with Enhanced Forgotten Factor for Brake Operation of Heavy Train

With the development of science and technologies, the locomotive is getting faster and faster and the load becomes heavier. The inertia and vertical force generated by the heavy train are increasing, and there are higher requirements of the braking and anti-slip control of the heavy train. In order to address the issues of safe and reliable anti-lock wheel control for heavy train operation, a sliding mode control based on recursive least square algorithm with enhanced forgotten factor is proposed. In this algorithm, the recursive least square method is exerted to seek optimal slip ratio. The wheel pair model is introduced to construct PI closed-loop observer to estimate unmeasured adhesive torque. On the one hand, the value of adhesion force torque can be used to calculate the actual adhesion coefficient which is an input of the algorithm for calculating the optimal slip rate; on the other hand, it can be also used to calculate the reference speed which is a necessary parameter of controller. The simulation result demonstrates the effect of real-time adjustment for braking torque, which guarantees the braking performance.