Kalman滤波器在机床热误差建模中的应用

在辨识机床的热变形模型时，由于所能得到的样本数据较少且含有测量噪声，因此简单地采用传统的辨识方法效果并不理想．为此本文使用Kalman滤波器对数据进行处理以提高辨识精度．

The accuracy of modelling the machine tool's thermal error is usually low for the small samplesand the existenoe of measuring noise. To overcome the difficulty, kalman filter is used to dispose the noise inthe paper.