Abstract:In view of the measurement problem of vibration states of rail vehicles, a sliding mode observer designed according to the sliding mode theory algorithm was proposed, which uses measurable vibration data to estimate the vehicle vibration state. By establishing the simplified lateral dynamic model of rail vehicles, a robust sliding mode observer was designed based on the simplified lateral model. Real-time measuring the lateral velocity and yaw angular velocity of the frame was used to estimate lateral vibration displacements of it as well as lateral vibration states of the carbody. In order to verify the effectiveness of the observer, the SIMPACK dynamics software was used to establish a 54 DOF simulation model of a certain type of domestic high-speed train. The actual operation process was simulated by dynamic calculation, and the estimated value of carbody vibration states obtained by the method was compared with the simulation result. The results show that the lateral vibration velocity and displacement of the carbody can be estimated accurately during straight-line condition, while the lateral vibration velocity accuracy of the carbody on the curve can meet the requirements, which demostrates the scientificity and feasibility of the proposed sliding mode observer.
王道忠,李广,宋亚东,姚远. 基于构架状态测量的轨道车辆车体横向振动估计[J]. 振动与冲击, 2023, 42(7): 162-169.
WANG Daozhong, LI Guang, SONG Yadong, YAO Yuan. Estimation of lateral vibration of rail vehicle body based on frame state measurement. JOURNAL OF VIBRATION AND SHOCK, 2023, 42(7): 162-169.
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