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Laser tracker-based kinematic parameter calibration of industrial robots by improved CPA method and active retroreflector

机译:改进的CPA方法和主动后向反射器基于激光跟踪器的工业机器人运动学参数标定

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摘要

Typical approaches to calibrate industrial robots are based on open- and closed-loop methods; the screw-axis measurement methods traditionally receive much less attention. Although the identification process does not guarantee the physical-mathematical link between the robot parameters in the first two groups of techniques, these techniques are generally more effective in reducing the global positioning error compared to the screw-axis methods. The third group of techniques acquires parameters based on the physical reality of the robot, effectively keeping the physical-mathematical link. This group is considered more appropriate than the previous two groups; however, it cannot reduce the overall error when considering the entire workspace of the robot compared to the previous groups. This paper presents a new technique to identify the kinematic parameters of an industrial robot based on a combination of techniques from the aforementioned categories. This new data acquisition technique uses a laser tracker with an active target, which maximises the angle covered by each joint and greatly simplifies the screw-axis measurement process. An identification procedure based on circle point analysis is also proposed, and the procedure evaluates the technique by obtaining initial values with a new formulation of the objective function of error based on mutual distances between the points captured in screw-axis measurements. This type of measurement also allows the eccentricity and backlash of each joint to be characterised independently such that local joint corrections could be made in combination with the identified parameters.
机译:校准工业机器人的典型方法是基于开环和闭环方法。传统上,螺杆轴的测量方法很少受到关注。尽管在前两组技术中,识别过程无法保证机器人参数之间的物理数学联系,但与螺旋轴方法相比,这些技术通常在减少全局定位误差方面更为有效。第三组技术基于机器人的物理现实来获取参数,从而有效地保持了物理-数学联系。该组被认为比前两组更合适。但是,与以前的组相比,在考虑机器人的整个工作空间时,它不能减少总体错误。本文提出了一种基于上述类别的技术组合来识别工业机器人运动学参数的新技术。这项新的数据采集技术使用了带有活动目标的激光跟踪仪,该目标可使每个关节所覆盖的角度最大化,并大大简化了螺丝轴的测量过程。还提出了一种基于圆点分析的识别程序,该程序通过使用螺钉轴测量中捕获的点之间的相互距离,通过使用误差目标函数的新公式获得初始值来评估技术。这种类型的测量还可以独立地表征每个关节的偏心率和间隙,从而可以结合所识别的参数进行局部关节校正。

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