Simulation Of Internal And External Tunnel Pressure Wave Of High-speed Train And Research On Iterative Control

China’s high-speed railway has developed rapidly in the past ten years.As the speed of the train continues to increase,due to the vehicle-tunnel coupling,severe external pressure fluctuation will be generated when the high-speed train passes through the tunnel.At the same time,the tunnel pressure wave is transmitted into the car through the air-conditioning ventilation system and the air-tight gap of the car body,which affects the riding comfort of the drivers and passengers.With the continuous development of high-speed railways in western mountainous areas represented by the Sichuan-Tibet Railway,long tunnels have become a new and important feature of high-speed railways.In order to facilitate the study of the pressure comfort of high-speed trains passing through the tunnel and to verify the correctness of the internal pressure fluctuation control algorithm,an internal and external tunnel pressure wave simulation device for high-speed trains is designed.The internal and external tunnel pressure wave can be repeatedly simulated in the laboratory and the control algorithm of the pressure fluctuation in the vehicle can be studied.However,the passive control strategy for the fluctuation of internal pressure by closing the ventilation duct for a fixed period of time is difficult to take into account the comfort of internal pressure and the demand for fresh air.Aiming at the above problems,a high-order iterative learning control algorithm with forgetting factor is designed,in which the opening and closing of the ventilation duct is matched with the characteristics of internal pressure.On this basis,an iterative learning control algorithm is proposed for the problem of suppressing the pressure fluctuation under the fixed-shape tunnel pressure wave disturbances.The historical data of the train’s repeated running in space is fully used,and the application research of the stochastic iterative learning control algorithm in the control of internal pressure fluctuation is carried out.The paper mainly includes the following research contents:1.Firstly,according to the system design requirements and technical indicators,the overall scheme of the internal and external tunnel pressure wave simulation device is designed based on the existing tunnel pressure wave simulation device,and the working principle of the simulation device is analyzed.On the premise of ensuring the safe operation of the system,the mechanical structure size of the model car is designed.Then calculate the flow requirements of the system,and then complete the design of the gas circuit system and the selection of hardware.According to the overall scheme and the function of the simulation device,the measurement and control system scheme of the simulation device is designed.The selection of measurement and control hardware is completed,and the measurement and control software is designed based on the Lab VIEW platform.2.Aiming at the problem that the traditional passive control method cannot take into account the pressure comfort and fresh air volume in the vehicle,a high-order iterative learning control algorithm with forgetting factor for internal pressure fluctuation is proposed.On the premise of ensuring the comfort of the internal pressure,the air exchange between inside and outside of the train is improved as much as possible.The algorithm is compared and simulated with uncontrolled and traditional control.The simulation results are analyzed from three aspects: the change rate of the internal pressure,the air exchange between inside and outside of the vehicle,and the convergence speed of the algorithm.3.Aiming at the fixed shape characteristics of the tunnel pressure wave generated by the same train passing through the same tunnel,a high-order iterative learning control algorithm with forgetting factor for internal pressure fluctuation under the disturbance of the fixed-shape tunnel pressure wave is proposed.It solves the problems of variable amplitude and variable scale,and can make full use of the historical data of the train running repeatedly on the line.In order to verify the applicability of the algorithm,the simulated fixed-shape pressure wave signal and the random real measured fixed-shape pressure wave signal were generated respectively as disturbances,and the designed internal pressure fluctuation control algorithm was simulated and analyzed.4.Finally,the processing,installation and software and hardware debugging of the simulation device are completed,which realizes the simulation function of the internal and external tunnel pressure wave.The pressure fluctuation control algorithm in the vehicle is implemented in Lab VIEW software.The experimental verification of the algorithm is carried out by using the built simulation device,and the experimental results are analyzed.