论文部分内容阅读
工业测量拟合通常只关心待测工件的尺寸姿态,而不关心其绝对位置,但观测数据却包含了两者的误差。为提取出影响待测工件尺寸姿态的误差分量,提出了基于测量仪器先验误差分解定权的工业测量拟合算法。该算法依据工件形状和观测姿态对空间直线、平面、圆和球拟合计算中的各测点进行先验误差多向分解,并依据各向误差分量的影响量对测点进行加权拟合。实验结果表明,该算法与等权拟合相比,在形状和姿态参数拟合精度上可提高约10%~17%。
Industrial measurement fitting usually only concerned about the size and posture of the workpiece under test, regardless of its absolute position, but the observation data contains the error between the two. In order to extract the error components that affect the size and posture of the workpiece to be tested, an industrial measurement fitting algorithm based on priori error decomposition of measuring instruments is proposed. According to the shape and attitude of the workpiece, the algorithm performs multi-directional a priori error multi-directional decomposition on each measurement point in the space line, plane, circle and sphere fitting calculation. The measurement points are weighted and fitted according to the influence amount of the error components. Experimental results show that the proposed algorithm can improve the fitting accuracy of shape and attitude parameters by about 10% -17% compared with equal-weight fitting.