连续体机器人动力学建模中现有几何变应变模型的对偶性

IF 4.6 2区 计算机科学 Q2 ROBOTICS
A. Ouyoucef;Q. Peyron;V. Lebastard;F. Renda;G. Zheng;F. Boyer
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引用次数: 0

摘要

Cosserat杆理论已经成为一个黄金标准建模的静力学和动力学的串联和并联连续体机器人。最近,这些coserat棒模型的一种弱形式被称为几何变应变模型,其中机器人的变形被投影在有限维基函数上。对于连续体机器人来说,这个模型具有非常有趣的特征,例如接近经典刚性机器人的拉格朗日形式,以及在计算时间和精度方面调整其性能的能力。提出了两种方法来获取和计算它。第一个是基于牛顿-欧拉递归算法,第二个是基于强形式方程的投影,使用雅可比矩阵。尽管这些方法产生相同的模型形式,但它们不同的实现和数值方案使它们各自独特地适合于特定的应用程序。值得注意的是,这些差异的基础是这些模型之间深刻的二元性,促使我们寻求对这种二元性的全面概述以及对其算法差异的分析。最后,我们讨论了这两种方法的观点,特别是它们的杂交,基于当前刚性机器人技术的知识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Duality of the Existing Geometric Variable Strain Models for the Dynamic Modeling of Continuum Robots
The Cosserat rod theory has become a gold standard for modeling the statics and dynamics of serial and parallel continuum robots. Recently, a weak form of these Cosserat rod models called the geometric variable strain model has been derived where the robot deformations are projected on finite-dimensional basis functions. This model has very interesting features for continuum robotics, such as a Lagrangian form close to classical rigid robots and the ability to tune its performances in terms of computation time and accuracy. Two approaches have been proposed to obtain and compute it. The first is based on the Newton-Euler recursive algorithm and the second, on the projection of the strong form equations using Jacobian matrices. Although these approaches yield identical model forms, their disparate implementations and numerical schemes render each uniquely suited to specific applications. Notably, underlying these disparities lies a profound duality between these models, prompting our quest for a comprehensive overview of this duality along with an analysis of their algorithmic differences. Finally, we discuss perspectives for these two approaches, in particular their hybridization, based on the current knowledge of rigid robotics.
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来源期刊
IEEE Robotics and Automation Letters
IEEE Robotics and Automation Letters Computer Science-Computer Science Applications
CiteScore
9.60
自引率
15.40%
发文量
1428
期刊介绍: The scope of this journal is to publish peer-reviewed articles that provide a timely and concise account of innovative research ideas and application results, reporting significant theoretical findings and application case studies in areas of robotics and automation.
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