常曲率连续体机器人动力学建模的新方法

IF 1 Q4 AUTOMATION & CONTROL SYSTEMS
Yujiong Liu, P. Ben-Tzvi
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引用次数: 1

摘要

受大自然的启发,连续体机器人在以人为中心的环境中显示出其潜力,因为它具有顺应障碍的特征和灵活的移动能力。然而,到目前为止,很少有这样的机器人在实验室之外成功实施。其中一个原因被认为是由于软机器人的实时控制挑战,这需要一个高效,高精度的动态模型。本文提出了一种新的系统方法来表述常曲率连续体机器人的动力学。新方法建立在几个新技术的基础上:1)使用虚功原理来制定运动方程,2)使用特别选择的运动学表示来分离积分变量和非积分变量,以及3)使用矢量表示将积分放在紧致形式中。通过这种方法,可以对难以求解的积分进行提前解析求解,从而建立精确的逆动力学模型。通过数值仿真对该模型的性能进行了评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New Approach to Model Constant Curvature Continuum Robot Dynamics
Inspired by nature, continuum robots show their potential in human-centered environments due to the compliant-to-obstacle features and dexterous mobility. However, there are few such robots successfully implemented outside the laboratory so far. One reason is believed to be due to the real time control challenge for soft robots, which require a highly efficient, highly accurate dynamic model. This paper presents a new systematic methodology to formulate the dynamics of constant curvature continuum robots. The new approach builds on several new techniques: 1) using the virtual work principle to formulate the equation of motion, 2) using specifically selected kinematic representations to separate integral variables from the non-integral variables, and 3) using vector representations to put the integral in a compact form. By doing so, the hard-to-solve integrals are evaluated analytically in advance and the accurate inverse dynamics are established accordingly. Numerical simulations are conducted to evaluate the performances of the newly proposed model.
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来源期刊
Mechatronic Systems and Control
Mechatronic Systems and Control AUTOMATION & CONTROL SYSTEMS-
CiteScore
1.40
自引率
66.70%
发文量
27
期刊介绍: This international journal publishes both theoretical and application-oriented papers on various aspects of mechatronic systems, modelling, design, conventional and intelligent control, and intelligent systems. Application areas of mechatronics may include robotics, transportation, energy systems, manufacturing, sensors, actuators, and automation. Techniques of artificial intelligence may include soft computing (fuzzy logic, neural networks, genetic algorithms/evolutionary computing, probabilistic methods, etc.). Techniques may cover frequency and time domains, linear and nonlinear systems, and deterministic and stochastic processes. Hybrid techniques of mechatronics that combine conventional and intelligent methods are also included. First published in 1972, this journal originated with an emphasis on conventional control systems and computer-based applications. Subsequently, with rapid advances in the field and in view of the widespread interest and application of soft computing in control systems, this latter aspect was integrated into the journal. Now the area of mechatronics is included as the main focus. A unique feature of the journal is its pioneering role in bridging the gap between conventional systems and intelligent systems, with an equal emphasis on theory and practical applications, including system modelling, design and instrumentation. It appears four times per year.
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