A geometric method for kinematics of delta robot and its path tracking control

Xue-Wen Yang, Zuren Feng, Chenyu Liu, Xiaodong Ren
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引用次数: 17

Abstract

This paper presents a geometric method for solving the inverse and forward kinematics of Delta robot, and then investigated the problem of path tracking control. The forward kinematics is most commonly solved by various iterative methods, which may suffer from slow convergence rate and strict initial value conditions. In this paper, this problem is simplified as solving the intersection point of two circles and then transforming the coordinates system to get the final solution. This method has advantages in its simplicity, accuracy and efficiency. Based on the solution to kinematics and the derivation of Jacobian matrix, the path tracking control is studied from two parts: the superior trajectory planning and the lower control system. Trajectory planning aims to define a temporal motion law along a given geometric path. A method for trajectory planning is presented which is based on a modified trapezoidal velocity profile (TVP) of which initial and final velocities could be nonzero depending on its movement model, whether continuous path (CP) or point to point (PTP). A velocity control method is proposed using a nonlinear PD controller to ensure the end effector tracking the desired path with high precision. At last, a demo trajectory is generated to verify the feasibility of the method experimentally.
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三角机器人运动学的几何方法及其轨迹跟踪控制
提出了一种求解Delta机器人逆运动学和正运动学的几何方法,并对其路径跟踪控制问题进行了研究。求解正运动学最常用的方法是各种迭代法,其收敛速度慢,初值条件严格。本文将该问题简化为求解两个圆的交点,然后变换坐标系得到最终解。该方法具有简单、准确、高效等优点。在运动学求解和雅可比矩阵推导的基础上,从上位轨迹规划和下位控制两部分研究了轨迹跟踪控制问题。轨迹规划的目的是定义沿给定几何路径的时间运动规律。提出了一种基于改进的梯形速度剖面(TVP)的轨迹规划方法,根据其运动模型,无论是连续路径(CP)还是点对点(PTP),其初始速度和最终速度都可以不为零。提出了一种采用非线性PD控制器的速度控制方法,以保证末端执行器高精度地跟踪期望路径。最后,通过实验验证了该方法的可行性。
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