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Self calibration of three-legged modular reconfigurable parallel robots based on leg-end distance errors

机译:基于腿端距离误差的三足模块化可重构并行机器人的自校准

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A class of three-legged modular reconfigurable parallel robots is designed and constructed for precision assembly and light machining tasks by using standard active and passive joint modules in conjunction with custom designed links and mobile platforms. Since kinematic errors, espe- cially the assembly errors, are likely to be introduced, kinematic calibration becomes particularly important to enhance the positioning accuracy of a modular reconfigur- able robot. Based on the local frame representation of the Product--Of Exponentials (Local POE) formula, a self calibration method is proposed for these three-legged modular reconfigurable parallel robots. In this method, both revolute and prismatic joint axes can be uniformly expressed in twist coordinates by their respective local (body) frames. Since these local frames can be arbitrarily defined on their corresponding links, we are able to calibrate them, and yet retain the nominal local description of their respective joints, i.e., the nominal twist coordinates and nominal joint displacements, to reflect the actual kinematics of the robot. The kinematic calibration thus becomes a procedure of fine-tuning the locations and orientations of the local frames. Using mathematical tools from differential geometry and group theory, an explicit linear calibration model is formulated based on the leg-end distance errors. An iterative least-square algorithm is employed to identify the error parameters. A simulation example of calibrating a three-legged (RRRS) modular parallel robot shows that the robot kinematics can be fully calibrated within two to three iterations.
机译:通过使用标准的主动和被动关节模块,结合定制设计的链接和移动平台,设计和构造了一类三足模块化可重构并行机器人,用于精密组装和轻加工任务。由于可能会引入运动误差,尤其是装配误差,因此运动校准对于提高模块化可重构机器人的定位精度尤为重要。基于指数乘积(Local POE)公式的局部框架表示,针对这些三足模块化可重构并行机器人,提出了一种自校准方法。在这种方法中,旋转关节轴和棱柱关节轴都可以通过它们各自的局部(身体)框架在扭转坐标中统一表示。由于这些局部框架可以在其相应的链接上任意定义,因此我们可以对其进行校准,但仍保留其各自关节的名义局部描述,即名义扭曲坐标和名义关节位移,以反映实际的运动学。机器人。运动学校准因此成为微调局部框架的位置和方向的过程。利用微分几何和群论中的数学工具,基于腿端距离误差建立了一个明确的线性校准模型。采用迭代最小二乘算法来识别误差参数。校准三足(RRRS)模块化并行机器人的仿真示例表明,可以在2-3次迭代中完全校准机器人的运动学特性。

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