Kalman滤波算法在激光三角法测量中的应用

Application of Kalman Filtering Algorithm in Laser Triangulation Measurement

为了提高激光位移传感器的测量精度,首先从激光三角法的测量原理出发,分析被测物体表面特征导致误差产生的原因,然后根据误差分析结果提出对传感器采集数据运用Kalman滤波算法处理来进行误差补偿,最后结合LS-100CP型激光位移传感器MATLAB进行实验仿真。实验结果表明,Kalman滤波算法在激光三角法测量中的应用切实可行。

In order to improve the measurement precision of the laser displacement sensor,first,the cause of the error caused by the measured surface features was analyzed from the measurement principle of laser triangulation.Then,according to the result of error analysis,the Kalman filter algorithm was applied to the sensor data to carry out error compensation. Finally,the experiments were carried out with LS-100 CP laser displacement sensor and MATLAB. The experimental results show that the Kalman filter algorithm in the application of laser triangulation measurement is feasible.