Train Braking Anti-slip Control Method Based On Optimal Creep Rate

With the rapid development of high-speed railway construction,it is necessary to ensure the safety and reliability of the train while paying attention to the speed improvement of the train.In practice,the running environment of the train is complex and changeable,especially the contact environment between the wheel and rail is even more unpredictable.Once the wheel of the train is locked and skidded in the braking process,it usually reduces the braking performance of the train and seriously affects the safety of the train.Anti-skid control is put forward to prevent wheel instability,skidding,and can effectively make use of wheel-rail adhesion.Good anti-skid control idea plays an important role in ensuring the safety of train operation.Therefore,select effective prevention The sliding control strategy is of great importance to ensure the stable and effective operation of the anti-skid system of the train.In this paper,the maximum adhesion between wheel and rail is used to prevent skid effectively under braking conditions.In the process of modeling the anti-skid system,a more accurate dynamic model is established by considering the uncertainty of the external environment and the interaction between the front and rear wheelsets.On this basis,by estimating the optimal creeping rate of different rail surfaces,a sliding mode anti-skid control method with adaptive sliding mode is proposed.The specific research contents are as follows:1.Firstly,according to the research status and development process of anti-skid control system at home and abroad,this paper discusses the deficiency of traditional anti-skid technology and the development direction of modern anti-skid technology,introduces the basic theory of wheel-rail contact and wheel-rail adhesion,analyzes the causes of vermicular sliding between wheel and rail,reveals the internal relationship between adhesion and vermicular sliding,and finally lists some external factors that affect the adhesion of wheel and rail,and provides the basis for designing control strategy.2.Because the traditional anti-slip control idea is single,and the braking performance of the train can not be fully utilized in order to better utilize the adhesion force between the wheel and rail,the optimal creep rate estimation algorithm under different rail surface conditions is proposed,The algorithm is based on a set of adhesion force estimator and improved dynamic forgetting factor least square estimation method.Under the optimal creep rate,the maximum adhesion between the wheel and rail can be fully utilized,and the optimal creep rate under different rail surface conditions can be effectively estimated by the simulation and analysis.3.In this paper,not only the interference of the external complex environment,but also the influence of the front and rear wheelsets of the train on the anti-skid performance are considered when modeling the anti-skid system.On this basis,in order to reduce the influence of uncertain factors,the adaptive sliding mode anti-skid control strategy is designed bycombining the adaptive algorithm with the traditional sliding mode control algorithm.The adaptive sliding mode anti-skid control strategy is designed so that the train can run on the current rail surface.Finally,the reliability of the controller is verified by comparing the design with the traditional sliding mode controller.To improve that anti-slip control performance of the train on different rail surface,on the basis of establishing a suitable system model,the creep state of the rail surface and the anti-slip control strategy are analyzed respectively,and the reliability of the two is verified by the simulation,which provides a high-speed train in a more complex environment,And provides a theoretical foundation and a technical support for maintaining good anti-skid performance.