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Iterative Learning Cross-coupled Control for XY Table Based on Real-time Contour Error Estimation

机译:基于实时轮廓误差估计的XY表迭代学习交叉耦合控制

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摘要

The contour accuracy of XY table directly driven by two linear motors was influenced by the complicated reel-time contour error model of free-form curves, uncertainty external disturbance and dynamic matching between X axis and Y axis. To establish XY table model that easily calculated and suitable for free-form curves, real-time contour error estimate method was adopted. In order to reduce uncertainty external disturbance and dynamic matching between X axis and Y axis, the iterative learning cross-coupled controller (ILCCC) was designed for current compensation on X axis and Y axis. Simulation results show that the control scheme can enhance the robustness of the system, and effectively improve the XY table of contour precision.
机译:由两个线性电机直接驱动的XY表的轮廓精度受到自由形式曲线的复杂卷轴时间轮廓误差模型,不确定的外部干扰和X轴和Y轴之间的动态匹配的影响。 为了建立易于计算和适用于自由形式曲线的XY表模型,采用了实时轮廓误差估计方法。 为了减少X轴和Y轴之间的不确定性外部干扰和动态匹配,设计了迭代学习交叉耦合控制器(ILCCC),用于X轴和Y轴的电流补偿。 仿真结果表明,控制方案可以增强系统的鲁棒性,有效地改善XY等高精度表。

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