基于在机测量的旋转轴几何误差辨识方法

Geometric error identification of rotary axes based on on-machine measurement

  • 摘要: 旋转轴的几何误差是影响五轴机床加工精度的关键因素,可分为位置无关几何误差(position independent geometric errors, PIGEs)与位置相关几何误差(position dependent geometric errors, PDGEs)两类。现有辨识方法大多仅单独考虑其中一类误差,难以准确反映二者耦合作用下的实际运动特性。针对这一问题,提出一种基于在机测量的旋转轴几何误差分步辨识方法,用于分离并辨识PIGEs与PDGEs。首先,基于对偶四元数理论构建了旋转轴的几何误差模型,揭示了两类误差对空间位姿的耦合影响规律;其次,提出分步辨识策略,即先基于三个精密球的实测坐标,通过空间圆拟合与最小二乘法辨识旋转轴实际轴线,获得PIGEs参数;再次,将PIGEs代入误差模型,构建非线性最小二乘问题并采用Powell算法求解6项PDGEs;最后,在DMG DMU 60五轴加工中心上开展在机测量实验,验证了所提方法的有效性。

     

    Abstract: Geometric errors of rotary axes, which can be classified into position-independent geometric errors (PIGEs) and position-dependent geometric errors (PDGEs), are key factors affecting the machining accuracy of five-axis machine tools. Most existing identification methods only consider one type of error separately, making it difficult to accurately reflect the actual motion characteristics under the coupling effect of both types of errors. To address this issue, a stepwise identification method for geometric errors of rotary axes based on on-machine measurement was proposed to separate and identify PIGEs and PDGEs. Firstly, a geometric error model of the rotary axis is established based on dual quaternion theory, and the coupling influence law of the two types of errors on spatial pose is revealed. Secondly, a stepwise identification strategy is proposed. The actual axis of the rotary axis is identified by spatial circle fitting and the least squares method based on the measured coordinates of three precision spheres, and the PIGEs parameters are obtained. Subsequently, the PIGEs are substituted into the error model, a nonlinear least squares problem is constructed and the Powell algorithm is used to solve the six PDGEs. Finally, on-machine measurement experiments are carried out on a DMG DMU 60 five-axis machine tool, which verifies the effectiveness of the proposed method.

     

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