Super-Twisting Control for trajectory tracking of a four-degree of freedom anthropomorphic robot manipulator

Eddy Gabriel Ibarra Ontiveros, Yair Lozano Hernández, Manuel Alejandro Enríquez Rocha, Rosalba Galván Guerra, Mario César Maya Rodríguez
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Abstract

This work solves the regulation and tracking trajectories tasks for four degrees of freedom anthropomorphic robot manipulators. Two controllers are considered: a Super-Twisting controller (ST) and a Proportional Derivative with dynamics compensation (PD+) control. This comparison is carried out through numeric simulation of the dynamic model in the presence of disturbances using Matlab-Simulink software. Also, the tuning procedure of each controller is shown, as well as the stability criteria used for each case. The tunning of the ST controller is done considering the effects produced by an unknown Lipschitz disturbance; this guarantees robustness against this kind of disturbance. The results of the ST controller show the rejection of the disturbance, allowing the correct trajectory tracking. An algorithm based on the inverse kinematics solution is used to generate trajectories and their interpretation in generalized coordinates corresponding to the manipulator’s joint positions obtained through the geometric approach. In addition, we show the workspace, the manipulator parameterization, and the manipulator dynamic model through the Euler-Lagrange motion equations.  
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四自由度拟人机器人机械臂轨迹跟踪的超扭转控制
本文解决了四自由度拟人机器人操纵臂的轨迹调节和轨迹跟踪问题。考虑了两种控制器:超扭转控制器(ST)和带动态补偿的比例导数控制(PD+)。利用Matlab-Simulink软件对存在扰动的动态模型进行数值模拟,进行比较。此外,还显示了每个控制器的调谐过程,以及每种情况下使用的稳定性标准。ST控制器的调谐考虑了未知的利普希茨扰动所产生的影响;这保证了对这种扰动的鲁棒性。ST控制器的结果显示了对干扰的抑制,允许正确的轨迹跟踪。采用一种基于运动学逆解的算法,根据几何方法得到的机械臂关节位置在广义坐标下生成轨迹并进行解释。此外,通过欧拉-拉格朗日运动方程给出了工作空间、机械臂参数化和机械臂动力学模型。
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