LIN Xian-kun, YU Chui-shun, LI Hao-lin. Learning-based linear contour error compensation method for 2<em>X/Y</em>-type linear feed axes[J]. Editorial Office of Optics and Precision Engineering, 2011,19(5): 1048-1053
LIN Xian-kun, YU Chui-shun, LI Hao-lin. Learning-based linear contour error compensation method for 2<em>X/Y</em>-type linear feed axes[J]. Editorial Office of Optics and Precision Engineering, 2011,19(5): 1048-1053 DOI: 10.3788/OPE.20111905.1048.
Learning-based linear contour error compensation method for 2X/Y-type linear feed axes
the research of the literature focuses on the straightness accuracy measurement
evaluation and error compensation of the axes. Firstly
the cause of linear contour error in interpolation process and its compensation complexity were analyzed for a 2
X/Y
gantry feed axis driven by linear motors. Then a learning algorithm based compensation method was applied to increase the contour accuracy for this type of gantry axis.In the method
2D time function of a laser interferometer was utilized to acquire real-time interpolation error data and least square method was taken to evaluate and determine the ideal linear equation. A model based on least square support vector regression technique was established to recognize the errors. With the support vectors from learning process
the real-time compensation values were acquired through the model regression calculation. Finally
the compensation output strategy and corresponding realization system were also proposed. To demonstrate the procedure of the proposed approach
an experiment was conducted on the self-construction 2
X/Y
axis feeding platform. The result shows that the combination technique can compensate the interpolation error and increase the straightness accuracy by 53%.
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references
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