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Least-squares Fit of Measured Points for Square Line-profiles

机译:平方线轮廓的测量点的最小二乘拟合

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The pseudoinverse of a rectangular matrix is used to compute the least-squares fit of a set of points that have been measured along a line-profile. Tolerances on line profiles are used to control cross-sectional shapes of parts, such as turbine blades. The specified profile is treated as a moving platform of a hypothetical, redundant, and planar in-parallel-actuated robot, and all the measured points are presumed to be fixed in it. The locations of the linear actuators are represented with screw (torsor) coordinates, and these are arranged in a matrix equation that relates the three small displacements of the platform to the corresponding deviations (treated as small displacements) of the measured points. The Moore-Penrose (pseudoinverse) solution uniquely produces displacements of the platform which correspond to the least-squares minimum for the deviations at all of the measured points.
机译:矩形矩阵的伪逆用于计算沿线轮廓测量的一组点的最小二乘拟合。线轮廓上的公差用于控制零件(例如涡轮叶片)的横截面形状。将指定的轮廓视为假设的,冗余的和平面的平行并联机器人的移动平台,并且假定所有测量点都固定在其中。线性致动器的位置用螺钉(torsor)坐标表示,并且以矩阵方程式排列,该矩阵方程将平台的三个小位移与测量点的相应偏差(视为小位移)相关联。 Moore-Penrose(伪逆)解决方案唯一地产生平台位移,该位移对应于所有测量点处的偏差的最小二乘最小值。

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