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PRACTICAL IDENTIFIABILITY OF THE MANIPULATOR LINK STIFFNESS PARAMETERS

机译:机械手连杆刚度参数的实际可识别性

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The paper addresses a problem of the manipulator stiffness modeling, which is extremely important for the precise manufacturing of contemporary aeronautic materials where the machining force causes significant compliance errors in the robot end-effector position. The main contributions are in the area of the elastostatic parameters identification. Particular attention is paid to the practical identifiability of the model parameters, which completely differs from the theoretical one that relies on the rank of the observation matrix only, without taking into account essential differences in the model parameter magnitudes and the measurement noise impact. This problem is relatively new in robotics and essentially differs from that arising in geometrical calibration. To solve the problem, several physical and statistical model reduction methods are proposed. They are based on the stiffness matrix sparseness taking into account the physical properties of the manipulator elements and also on the heuristic selection of the practically non-identifiable parameters that employs numerical analyses of the parameter estimates. The advantages of the developed approach are illustrated by an application example that deals with the stiffness modeling of an industrial robot used in aerospace industry.
机译:本文讨论了机械臂刚度建模的问题,这对于精确制造现代航空材料非常重要,在现代航空材料中,机械力会导致机器人末端执行器位置出现明显的柔度误差。主要贡献在于弹性参数识别领域。特别要注意模型参数的实际可识别性,它与仅依赖观察矩阵等级的理论模型完全不同,而没有考虑模型参数幅度和测量噪声影响的本质差异。这个问题在机器人技术中是相对较新的问题,与几何校准中出现的问题本质上是不同的。为了解决这个问题,提出了几种物理和统计模型的简化方法。它们基于刚度矩阵稀疏性,考虑到操纵器元素的物理属性,并且还基于对使用参数估计值进行数值分析的几乎无法识别的参数的启发式选择。所开发方法的优势通过一个应用实例加以说明,该应用实例涉及航空航天工业中使用的工业机器人的刚度建模。

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