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Comparison between the IDIM-IV method and the DIDIM method for industrial robots identification

机译:IDIM-IV方法与DIDIM方法在工业机器人识别中的比较

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摘要

This paper deals with two robot identification methods recently introduced. The first one is based on the use of the Inverse Dynamic Identification Model (IDIM) and the Instrumental Variable (IV). The second one is the Direct and Inverse Dynamic Identification Models (DIDIM) method, which is a closed-loop output error method minimizing the quadratic error between the actual and simulated joint torques. Both methods rely on the simulation of the Direct Dynamic Model (DDM). They are compared with a six degrees of freedom industrial robot. The experimental results show that the DIDIM method has the advantage of requiring less data preprocessing. Nevertheless, the IDIM-IV method appears to be more robust to modelling errors in the simulation which are not located in the identified dynamic model.
机译:本文涉及最近引入的两个机器人识别方法。第一个基于使用逆动态识别模型(IDIM)和仪器变量(IV)的使用。第二个是直接和逆动态识别模型(DIDIM)方法,这是一个闭环输出误差方法,最小化实际和模拟关节扭矩之间的二次误差。这两种方法都依赖于直接动态模型(DDM)的模拟。它们与六个自由工业机器人进行比较。实验结果表明,DIDIM方法具有要求更少的数据预处理的优点。然而,IDIM-IV方法似乎更强大地对未位于识别的动态模型中的模拟中的错误建模。

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