Rearch On Control Strategy For High-Speed Train Safety Running Under Crosswind Condition

Strong wind is one of the complex environments that threaten the safety running of high-speed trains,the Summer Typhoon on Coastal Railway Line and the spring and autumn monsoon on the Lan-Xin Railway Line have seriously threatened the safety running of high-speed trains in China.Especially under strong crosswind condition,the transverse aerodynamic force on the high-speed train which results in transverse vibration violently of the car body and changes seriously of the attitude for the high-speed trains,with the wind speed and train speed increase gradually,it becomes more serious,and may eventually lead to train delays,derailment,even overturning and casualties.In order to ensure the safety running of high-speed trains under strong wind condition,not only passive windproof measures should be taken,but also the most important thing is to adjust and control the running speed and attitude of trains in real-time.Therefore,the research on active control strategy for safety running of high-speed trains under strong wind condition,which provides reference for railway operation departments to avoid safety accidents under strong wind conditions,make scientific decisions and conduct safe operation command and dispatch,and ensure the safety running of high-speed trains.It is also one of the key technologies in the research and construction of ATO(Automatic Train Operation)control system for high-speed trains with independent intellectual property rights.The running of high-speed trains under strong crosswind conditions is a strongly coupled and highly non-linear process.The characteristics are gradually enhanced with the increase of wind speed and vehicle speed,which effects higher requirements for the control system and intelligent control algorithms.In this paper,high-speed train under crosswind condition is taken as the research object,based on train traction kinematics,wind characteristics and their effects on trains,multi-system dynamics and aerodynamics,through the analysis and research on the characteristics of fluctuating wind,the motion and running attitude of train,and pulsating wind speed model,the CFD(Computational Fluid Dynamics)model,the MBSD(Multi-body System Dynamics)model,the lateral vibration model based on two-system active suspension,the safety tracking interval distance model and distributed information interaction model are constructed.The active control strategy of running attitude and speed for high-speed train under strong crosswind condition are studied in detail.Further,1)Wavelet analysis theory and rolling time series analysis method are introduced to construct an integrated prediction model of WRTSM(Wavelet Rolling Time Series Model)to achieve advanced multi-step and high-precision prediction of wind speed.2)In order to solve the problem of change that the running attitude of train caused by crosswind excitation disturbance,the lateral vibration model of train is established,and the influence of different wind speeds on train is analyzed.An adaptive predictive control model is constructed based on the optimal predictive control theory and the second-system active suspension system,to realize the active control for the running attitude of high-speed train.The results before and after of the control are compared by Matlab to verify the rationality and effectiveness of the adaptive predictive control.The simulation results show that the adaptive predictive control can effectively suppress the lateral vibration acceleration response of car body caused by crosswind excitation under different wind speeds and vehicle speeds,and reduce the maximum response amplitude by 49%.Thus,the response speed can be increased,the lateral vibration of train can be significantly suppressed,and the safety running of train can be improved.3)A sliding mode adaptive robust H? control algorithm is proposed to deal with the time-varying parameters of high-speed train operation model and the non-linear uncertainties of the system under crosswind conditions.,An ATO sliding mode adaptive robust controller(SMARC)is designed on high-speed train based on Lyapunov stability theory,The input coefficients of the system with the uncertainties are approximated in real time by adaptive control,and the input coefficients of the system approaching the uncertainties of trains in real time are obtained by adaptive control.Then,all uncertainties are reduced to the minimum in terms of model errors,crosswind and other disturbances.in the ATO system by robot H? control,and the chattering phenomenon is eliminated.Finally,the sliding mode control is adopted to eliminate the tracking error of the system's safety running speed,and to achieve the high precision tracking of the safety running speed of high-speed train under different wind speeds.Comparing with other control algorithms is simulated by Matlab,the simulation results show that SMARC controller can better overcome the influence of system nonlinearity,parameter uncertainty and strong wind disturbance in ATO speed tracking control of high-speed train.It has high precision tracking ability for the given train safety running speed under different wind speeds,whether in the windless environment or in the stage of passing through the windy zone,the tracking effect of safety running speed can be achieved,and the tracking effect of safe running speed is obviously better than that of traditional PID controller and intelligent robust adaptive controller.It meets the high precision tracking requirement of the expected target speed for the actual running speed of high-speed train under strong wind.4)Aiming at the safety running of train group on the same railway line(up or down)under crosswind condition,a multi-train cooperative control model is proposed to avoid the collision between the following trains due to parking,shelter or deceleration,and a multi-train distributed cooperative control algorithm is designed to adjust the relative position and speed of train,and minimum safety tracking interval distance of two adjacent trains in real-time,in order to ensure the safety running of multiple trains on the same line under crosswind conditions.The simulation results also prove the effectiveness of the proposed control algorithm for multi-train cooperative control under crosswind conditions.