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首页> 外文期刊>Journal of robotic systems >An Efficient Algorithm for Generating Manipulator Inertia Matrix Using the Minimum Set of Dynamics Parameters
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An Efficient Algorithm for Generating Manipulator Inertia Matrix Using the Minimum Set of Dynamics Parameters

机译:使用最小动力学参数集生成机械手惯性矩阵的高效算法

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This article presents an efficient algorithm for computing the inertia matrix of rigid serial manipulators. The derivation of the algorithm is based on the closed-form formulation of the force and moment exerted on a link using a minimum set of dynamic parameters of the manipulator model. The minimum set of dynamic parameters can be derived completely from the original dynamic parameters using the recursive regrouping method before starting the simulation and the control. The proposed computation method is suitable for the control and the simulation based on parameter estimates because the minimum set of dynamic parameters is an identifiable parameter set. The computational efficiency of the proposed methods is compared with other published methods. It is shown that the proposed algorithm is the most efficient approach for serial manipulators. As an example, the number of computations for the inertia matrix of a manipulator with n rotational joints is 11n~2 +9 n - 35 multiplications and 7n~2 + 23 n - 57 additions by reformulating the dynamic model using the minimum set of dynamic parameters.
机译:本文提出了一种计算刚性串联机械手惯性矩阵的有效算法。该算法的推导是基于使用机械手模型的一组最小动态参数,以闭合形式表示作用在链节上的力和力矩。在开始仿真和控制之前,可以使用递归重组方法从原始动态参数中完全导出最小动态参数集。所提出的计算方法适合于基于参数估计的控制和仿真,因为动态参数的最小集合是可识别的参数集合。将所提出的方法的计算效率与其他已公开的方法进行了比较。结果表明,所提出的算法是串行操纵器最有效的方法。例如,通过使用最小动态集重构动态模型,具有n个旋转关节的机械手的惯性矩阵的计算数量为11n〜2 +9 n-35乘法和7n〜2 + 23 n-57加法。参数。

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