Research Of Adhesion Control Method Based On Axle-Load Transfer Compensation And Multi-Axles Coordination

The field of railway transportation plays an important role in the process of rapid economic and social development.Heavy load and high speed are the two major engines of railway transportation.The railway department has continuously developed high-power heavy load locomotives to meet the growing demand for freight.Heavy load locomotive inevitably will encounter the long ramp or poor rail surface conditions in the operation process,if the locomotive can't effectively inhibit the idling and recover adhesion,the wheel will be bruised even lead to the train derailment accident,this will cause a great impact on traffic transportation safety.Therefore,the heavy load locomotive must install the adhesion control system.At present,most adhesion control systems only consider the single axle's best adhesion utilization,ignoring the influence of axle relationship,which will inevitably affect the overall characteristics and reduce the adhesion utilization of locomotive.So the dissertation proceed from the overall characteristics of locomotive,considered axle-load transfer compensation and multi-axles coordination,designed an adhesion control method to reduce slip,improve adhesion utilization and improve traction capacity and safety of heavy load locomotive.First,a set of virtual distributed multi-layer adhesion control system was built.The first layer is the dynamic axle-load transfer compensation layer,which adjusted the given torque dynamically according to the simulation's axle-load transfer.The second layer is a dynamic axle coordination layer,it searched the main control axle of the locomotive dynamically,achieved the coordination between the axles and reduced the times of slipping.The third level is the adhesion control layer based on support vector machine,which identified the current rail surface state by support vector machine,The adhesion control strategy of the main control axle and the driven axle is designed respectively point at different surface states.Secondly,a dynamic axle-load transfer compensation method for heavy load locomotive is proposed,which optimized the traction control strategy of electric locomotive.Torque distribution mechanism is established on the traditional adhesion control strategy,and the adhesive forces of each axle are observed dynamically according to the disturbance observer,and the dynamic axle load transfer of locomotive is calculated,then the given torque is dynamically distributed.Then,the support vector machine theory was integrated into rail surface identification,using the data obtained from the simulation of adhesion experiment,the classification model was got from least squares support vector machine classification training.Next,the classification of the rail surface is obtained by the classification model.Finally,a 23 t Bo-Bo type four axles heavy load electric locomotive multi-body dynamics model was built on the Simpack software platform,and constructs a co-simulation platform with Matlab/Simulink software.The proposed control strategy is verified on the platform,and simulation comparative analysis is carried out with the traditional adhesion control method.