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Dynamic parameter identification of robot arms with servo-controlled electrical motors

机译:伺服控制电动机机器人臂的动态参数识别

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This paper addresses the issue of dynamic parameter identification of the robot manipulator with servo-controlled electrical motors. An assumption is made that all kinematical parameters, such as link lengths, are known, and only dynamic parameters containing mass, moment of inertia, and their functions need to be identified. First, we derive dynamics of the robot arm with a linear form of the unknown dynamic parameters by taking dynamic characteristics of the motor and servo unit into consideration. Then, we implement the parameter identification approach to identify the unknown parameters with respect to individual link separately. A pseudo-inverse matrix is used for formulation of the parameter identification. The optimal solution is guaranteed in a sense of least-squares of the mean errors. A Direct Drive (DD) SCARA type industrial robot arm AdeptOne is used as an application example of the parameter identification. Simulations and experiments for both open loop and close loop controls are carried out. Comparison of the results confirms the correctness and usefulness of the parameter identification and the derived dynamic model.
机译:本文通过伺服控制电动机解决了机器人操纵器的动态参数识别问题。假设是已知所有运动学参数,例如链路长度,并且只需要识别包含质量,惯性矩的动态参数及其功能。首先,通过采用电机和伺服单元的动态特性考虑,通过采用电动机和伺服单元的动态特性,通过采用未知动态参数的线性形式导出机器人臂的动态。然后,我们实施参数识别方法,以单独地识别各个链路的未知参数。伪逆矩阵用于制定参数识别。在平均误差的最小二乘法中保证最佳解决方案。直接驱动(DD)Scara型工业机器人臂Adeptone用作参数识别的应用示例。进行开环和闭环控制的仿真和实验。结果的比较证实了参数识别和派生动态模型的正确性和有用性。

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