基于几何和迭代融合建模的机械臂运动学逆解

S. Routray, A. T. John, Aaqib Syed, Parul M. Jadhav
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引用次数: 0

摘要

每个机械臂都有一个特定的工作范围和一个预定的轨迹,它必须遵循这个轨迹来完成任何任务。确定关节角度和速度的几何计算涉及复杂的三角计算和推导,这些计算和推导不够简单,无法在控制软件中实现。很多时候,几何计算也往往由于复杂的工作信封而变得无法解决。虽然迭代算法提供了所有可能的串行连杆机械臂的广义解,但它的计算成本非常高。如果节点数量较多,则会使情况进一步恶化。研究了将迭代法和几何法相结合的方法求解四自由度机械臂的运动学逆解。因此,本文旨在建立几何方法复杂性与迭代方法计算量之间的折衷。对部分连杆采用迭代法,对其余连杆采用几何法,在遵守工作包络的约束条件下,以最小的误差获得理想的末端位置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Inverse Kinematics Solution for a Robotic Arm Through Geometric and Iterative Fusion Based Modelling
Every robotic arm has a specific work envelope and a predefined trajectory that it must follow to complete any task. Geometric calculation for determining joint angles and velocity involves complex trigonometric calculations and derivations which are not simple enough to actuate in a control software. Many times, geometric calculation also tend to become unsolvable due to complex work envelopes. Though iterative algorithms provide generalized solution to every serial link manipulator possible, it is computationally very expensive. If the number of nodes is large, this further aggravates the situation. The paper focuses on the methodology to combine iterative and geometrical methods to find inverse kinematics solutions to a 4 Degree of Freedom (DOF) robotic arm. Thus, the paper aims at establishing a bargain between geometric method complexities and iterative method computational load. Iterative method is employed for certain links and geometry is applied for rest of the links to achieve the desired end location with minimum error possible while adhering to the constraints of the work envelope.
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