Position and Orientation Tracking Control of a Cable-Driven Tensegrity Continuum Robot

IF 9.4 1区 计算机科学 Q1 ROBOTICS
Fei Li;Hao Yang;Guoying Gu;Yongqing Wang;Haijun Peng
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引用次数: 0

Abstract

Trajectory tracking control of flexible continuum robots is challenging due to their inherent compliance and high nonlinearity. Many related works exclude the control of the end's orientation, i.e., only the end's position is considered. In this article, a differential-algebraic equations (DAEs) model-based instantaneous optimal control (IOC) framework for the end's position and orientation cooperative tracking of a cable-driven tensegrity continuum robot (TCR) is developed. Based on the tensegrity concept, a TCR is designed first as the control object, which can achieve multimode deformations such as bending, scoliosis, contraction, and the S- or J-shape. Then, the actuation of cables is introduced as the system kinematic constraints from the view of multibody dynamics so that a control-oriented model of the TCR can be built by DAEs. Subsequently, the original continuous trajectory tracking problem is approximated for a series of IOC problems at each discrete time slot. Finally, considering the constraints of control input saturation, a linear complementarity problem was derived for solving these IOC problems. The method provides an easy-to-implement and unified framework for addressing the trajectory tracking control issues of cable-driven continuum robots, which can improve the control performance of the position-only tracking controllers and exploit the TCR's advantages to handle more application scenarios. The advanced performance and potential applications of the proposed controller have been evaluated via several numerical simulations and experiments on the TCR prototype.
索驱动张拉整体连续体机器人的位置和姿态跟踪控制
柔性连续体机器人由于其固有的顺应性和高度的非线性,使其轨迹跟踪控制具有挑战性。许多相关的工作都排除了末端方向的控制,即只考虑末端的位置。本文提出了一种基于微分代数方程(DAEs)模型的索驱动张拉整体连续体机器人(TCR)末端位置和姿态协同跟踪的瞬时最优控制框架。基于张拉整体概念,首先设计了一个TCR作为控制对象,该TCR可以实现弯曲、侧凸、收缩和S型或j型等多模态变形。然后,从多体动力学的角度出发,引入索的驱动作为系统的运动学约束,利用DAEs建立面向控制的TCR模型。然后,将原连续轨迹跟踪问题近似为在每个离散时隙处的一系列IOC问题。最后,考虑控制输入饱和的约束,导出了求解这些IOC问题的线性互补问题。该方法为解决缆索驱动连续体机器人的轨迹跟踪控制问题提供了一个易于实现和统一的框架,可以提高纯位置跟踪控制器的控制性能,并利用TCR的优势来处理更多的应用场景。通过在TCR样机上的数值模拟和实验,对该控制器的先进性能和潜在应用进行了评价。
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来源期刊
IEEE Transactions on Robotics
IEEE Transactions on Robotics 工程技术-机器人学
CiteScore
14.90
自引率
5.10%
发文量
259
审稿时长
6.0 months
期刊介绍: The IEEE Transactions on Robotics (T-RO) is dedicated to publishing fundamental papers covering all facets of robotics, drawing on interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, and beyond. From industrial applications to service and personal assistants, surgical operations to space, underwater, and remote exploration, robots and intelligent machines play pivotal roles across various domains, including entertainment, safety, search and rescue, military applications, agriculture, and intelligent vehicles. Special emphasis is placed on intelligent machines and systems designed for unstructured environments, where a significant portion of the environment remains unknown and beyond direct sensing or control.
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