基于卡尔曼滤波原理的机车轮对系统标定方法

Calibration Method of Locomotive Wheelset System Based on Kalman Filter Theory

针对激光位移传感器引入的噪声信号,利用卡尔曼滤波原理对测量信号进行标定,完成了标定的仿真分析。在分析了激光位移传感器高度差标定原理的基础上,按照先单个后两个的顺序对激光位移传感器的高度定位误差与轮对半径和高度定位误差与轮对半径计算误差分别进行仿真分析。结果表明,采用卡尔曼滤波法对激光位移传感器采集信号进行估计和平滑后,可有效降低测量误差,信号经由卡尔曼滤波标定和高度定位误差标定,轮对半径R的计算误差可以满足小于0.5 mm的要求。

The noise signal introduced by the laser displacement sensor is calibrated by the Kalman filter theory,and the simulation analysis of the calibration is completed.Based on the analysis of the principle of laser displacement sensor height difference calibration,the height error of the laser displacement sensor and the calculation error of the wheel radius and height and the radius of the wheel are simulated and analyzed according to the order of the first two.The results show that the signal is calibrated by Kalman filter and the height tolerance is calibrated,and the calculation error of wheel radius R can meet the requirement of less than 0.5 mm.