Convex polytopic modeling for flexible joints industrial robot using TP-model transformation

Jing Chen, Ruifeng Li, Chuqing Cao
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引用次数: 23

Abstract

This paper presents a method for converting nonlinear flexible joint robot system into linear convex polytopic model by using the tensor product (TP) model transformation. The robot link position and velocity information was taken as variable parameters, and the dynamic equation of flexible joint robot was equidistant partitioned and stored in a tensor within the variable parameter range. Then, the tensor's singular values and the corresponding eigenvector were computed by using high order singular value decomposition. The weighting functions of polytopic model were constructed with the resulting eigenvectors, and then finite vertex LTI system was obtained. The simulation results show that the convex polytopic model can accurately represents the nonlinear dynamics model of flexible joint robot in the parameter range. This modeling approach is the foundation of designing multi-model robust controller based on LMIs for flexible joint robot.
基于tp -模型变换的柔性关节工业机器人凸多边形建模
本文提出了一种利用张量积(TP)模型变换将非线性柔性关节机器人系统转化为线性凸多边形模型的方法。将机器人的连杆位置和速度信息作为可变参数,对柔性关节机器人的动力学方程进行等距分割并存储在可变参数范围内的张量中。然后,通过高阶奇异值分解计算张量的奇异值和相应的特征向量。利用得到的特征向量构造多面体模型的权重函数,得到有限顶点LTI系统。仿真结果表明,所建立的凸多面体模型能较好地表征柔性关节机器人在一定参数范围内的非线性动力学模型。该建模方法为柔性关节机器人基于lmi的多模型鲁棒控制器的设计奠定了基础。
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