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Dynamic parameter identification of actuation redundant parallel robots using their power identification model: Application to the DualV

机译:使用动力识别模型的驱动冗余并行机器人的动态参数识别:在DualV中的应用

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摘要

Off-line robot dynamic identification methods are generally based on the use of the Inverse Dynamic Identification Model (IDIM), which calculates the joint forces/torques (estimated as the product of the known control signal — the input reference of the motor current loop — by the joint drive gains) that are linear in relation to the dynamic parameters, and on the use of linear least squares technique to calculate the parameters (IDIM-LS technique). However, as actuation redundant parallel robot are overconstrained, their IDIM has infinity of solutions for the force/torque prediction, depending of the value of the desired overconstraint that is a priori unknown in the identification process. As a result, the IDIM cannot be used for the identification procedure. On the contrary the Power Identification Model (PIM) of any types of robot manipulator has a unique formulation and contains the same dynamic parameters as the IDIM. This paper proposes to use the PIM of actuation redundant robots for identification purpose. The identification of the inertial parameters of a planar parallel robot with actuation redundancy, the DualV, is then carried out using its PIM. Experimental results show the validity of the method.
机译:离线机器人动态识别方法通常基于反向动态识别模型(IDIM),该模型可计算关节力/扭矩(估计为已知控制信号(电动机电流回路的输入参考)的乘积, (通过联合驱动增益)相对于动态参数呈线性关系,并使用线性最小二乘技术来计算参数(IDIM-LS技术)。然而,由于冗余冗余致动机器人的过度约束,其IDIM具有无限大的力/转矩预测解决方案,具体取决于识别过程中事先未知的所需过度约束的值。结果,IDIM不能用于识别过程。相反,任何类型的机器人操纵器的功率识别模型(PIM)具有独特的公式,并且包含与IDIM相同的动态参数。本文提出将执行冗余机器人的PIM用于识别目的。然后使用其PIM对具有执行冗余的平面并联机器人DualV的惯性参数进行识别。实验结果证明了该方法的有效性。

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