Research On Hardware-in-the-Loop Simulation For Active Stability Of High-Speed Train

With the guidance of the China’s "Building China’s Strength in Transportation " and "Going Global" strategy,the implementation of research on a new generation of 400km/h highspeed trains has been put on the agenda.High-speed trains with higher speed will adopt more advanced suspension technology to improve the operating performance.Active suspension control,as a new development field of next generation high-speed train suspension technology,can significantly improve the dynamic performance and track adaptability of high-speed trains.A dynamic model of a certain type of China high-speed EMU is established in this thesis.Active stability control strategies are proposed to realize lateral vibration control and lateral stability by feeding back the lateral displacement and velocity of the frame at the end beams of bogie frame,and control effects of control strategies such as LQR,fuzzy PI and particle swarm optimized PID are compared in this thesis.Based on the simplified dynamic model of single bogie,the control parameters of LQR and particle swarm optimized PID methods are optimized for the object of frame lateral vibration reduction.The control parameters are substituted into the vehicle dynamics model,and various operating conditions such as new wheel fault-free,wear wheel fault-free,unilateral yaw damper fault with new wheel,etc.are analyzed.The results show that the three control strategies can effectively improve the nonlinear stability and straight-line operating performance of trains.Control system hardware-in-the-loop vehicle dynamics simulation test rig is built,including the components such as hardware part,real-time simulator system,data communication system and signal acquisition system.Dynamic characteristics of inertial actuator are studied and improve its force control accuracy is improved by realizing displacement feedback and force feedback respectively.Inertial actuators are installed at the ends of the frame to generate the control force,and three control strategies designed for the actuators are validated by hardware-in-the-loop simulation.Simulation results show that the hunting stability and the operating performance of vehicle are effectively improved after the implement of all three control strategies and the control effect of particle swarm optimized PID is the best and the control effect of LQR is worse by comparison.This conclusion is consistent with the result of simulation calculation of the vehicle dynamics model.