Research On Adhesion Control Of Traction Motor Of EMU

With the continuous operation of high-speed EMU,how to improve the adhesion performance of EMU has become an important issue.This article mainly studies the single-axle idling phenomenon and the idling adhesion recovery problem.The article briefly introduced the wheel-rail contact and adhesion theory.The main factors affecting the state of adhesion between wheels and rails are briefly summarized,and the O.Polach adhesion force fast solution model is introduced.Based on the theory of adhesion,the idling was classified,and several commonly used idle identification methods were introduced.Under the premise of considering the wheel-rail adhesion,the single-section vehicle was reduced to single-acting axle for force analysis.The single-acting axle traction model of the train was deduced.Two methods has been chosen from the traditional corrective adhesive control and modern optimal adhesive control.The article modeled and simulated in Matlab for the two methods.Firstly,the train single-acting axle traction model,the traction motor vector control model and the adhesion control model based on the above two methods were built in Matlab,and the traction transmission control system of the EMU was formed based on the above models.Secondly,the fast solution model of adhesion was used to define the dry and wet track conditions.The simulation of the combination correction control method was analyzed under the condition of abrupt change of track surface.The simulation results showed that this method can effectively suppress wheelset idling,but the disadvantage is that the adhesion work point of the train is far from the adhesion peak point,and the train adhesion utilization is not high.Thirdly,the performance of the full-scale state observer is simulated and analyzed.The pole value that best optimizes the observer performance is determined by the simulation results,and the influence of the mechanical parameters on the performance of the observer is clarified.Then,three sets of simulations are performed on the optimal adhesion control based on the full-dimensional state observer.The simulation results show that the method can reliably search for the adhesion peak point under the current rail surface condition under the dry and wet conditions of the track surface.The method can effectively suppress the idling of the wheelset when the track surface changed suddenly and ensure that the train can run stably near the adhesion peak point of the track surface after entering the wet rail surface through the adhesion control module,thus improving the train adhesion efficiency.Finally,the average adhesion efficiency was used as an indicator to compare the control effects of the two control methods.The average adhesion efficiency of the EMU under optimal adhesion control was improved by about 11%compared with the combined correction method.This improvement shows that the modern optimal adhesion control method that can automatically search for adhesion peak points has great advantages over traditional correction adhesion control methods,and provides a direction for future adhesion control research.