基于多传感器协同的智能装配系统标定方法研究

Research on calibration method of intelligent assembly system based on multi sensor collaboration

  • 摘要: 针对多传感器(混联机器人、转台、线激光扫描仪、激光跟踪仪)协同标定流程分散、坐标系转换误差累积严重制约复杂工件的全域测量精度的问题,提出一种融合转台三维偏心修正与多传感器协同标定的智能装配系统标定方法。其中,线激光扫描仪结合标定块的几何特征,建立和转台的坐标系转换关系;同时,基于激光跟踪仪对混联机器人基坐标系的全局标定及转台旋转中心的三维几何建模,解决转轴倾斜与偏心引起的非线性误差问题,并且以转台和激光跟踪仪坐标系为媒介,进行了系统的整体标定。实验表明,以上结合所提算法可将线激光传感器与转轴标定误差从0.10 mm降低至0.06 mm,机器人位置误差达0.08 mm,为毁伤元装配等精密工程场景提供了可靠的技术支撑。

     

    Abstract: An intelligent assembly system calibration method that integrates the three-dimensional eccentricity correction of the turntable and the collaborative calibration of multiple sensors (hybrid robots, turntables, line laser scanners, laser trackers) is proposed to address the problem of dispersed calibration processes and severe constraints on the global measurement accuracy of complex workpieces due to the accumulation of coordinate system conversion errors. Among them, the line laser scanner combines the geometric features of the calibration block to establish a coordinate system conversion relationship with the turntable. At the same time, based on the laser tracker, the global calibration of the base calibration system of the hybrid robot and the three dimensional geometric modeling of the turntable rotation center were carried out to solve the nonlinear error problem caused by the tilt and eccentricity of the rotation axis. The system was calibrated as a whole using the turntable and laser tracker coordinate system as the medium. The experiment shows that the above algorithm can reduce the calibration error between the line laser sensor and the axis pose from 0.10 mm to 0.06 mm, and robot position error reaches 0.08 mm, providing reliable technical support for precision engineering scenarios such as damage element assembly.

     

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