Estimation of lateral vibration of rail vehicle body based on frame state measurement

Abstract

Here, aiming at the measuring problem of vibration state of rail vehicle in actual line operation, a sliding mode observer designed based on sliding mode theory algorithm was proposed to use measurable vibration data for estimating vehicle vibration state in real time. A simplified lateral dynamic model of rail vehicle was established. Based on the simplified lateral model, a robust sliding mode observer was designed. Through real-time measuring transverse velocity and shaking angular velocity of frame, vehicle body' s lateral vibration displacement and vibration state were estimated. In order to verify the effectiveness of the designed observer, a whole train simulation model of a certain type domestic highspeed train with 54-DOF was established using SIMPACK dynamic software. The actual operation process was simulated through dynamic calculation. The vehicle body vibration state estimation obtained with the proposed method was compared with the simulation results. The results showed that the estimation accuracy with the designed observer for lateral vibration velocity and displacement of vehicle body under straight line condition is higher, while the accuracy for lateral vibration velocity of vehicle body on curves can meet requirements; the scientific nature and feasibility of the proposed sliding mode observer are demonstrated.