Force-guided heuristic kinematics control of a continuum robot with variable curvatures

IF 4.5 1区 工程技术 Q1 ENGINEERING, MECHANICAL
Yuhang Liu, Kai Luo, Qiang Tian, Haiyan Hu
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引用次数: 0

Abstract

Continuum robots, particularly cable-driven continuum robots (CDCRs), have broad application prospects due to their lightweight and flexibility, featuring simple structures and actuation. However, their accurate control relies on high-precision kinematic models with nonuniform curvatures and the associate algorithms of inverse kinematics. In this article, the discrete elastic rod method based on discrete differential geometry is used to establish the variable curvature kinematic model of a CDCR, and a heuristic algorithm of optimal control guided by the virtual constraint forces are proposed to solve inverse kinematics efficiently. A closed-loop trajectory tracking controller based on the proposed algorithm is then designed with high tracking precision. Experimental results demonstrate that the dynamic deviation of the robot's free-end positions from the target ones under the condition of an acceleration 0.3 m/s2 is only 2.7 % of its total length, and it becomes 6.2 % even when the robot is carrying a payload of 100 g. The control error remains small at a tracking speed of 160 mm/s. Thus, the proposed force-guided heuristic algorithm provides a new way to construct effective dynamic controllers of continuum robots.
变曲率连续体机器人的力引导启发式运动学控制
连续体机器人,特别是索驱动连续体机器人(CDCRs),由于其重量轻、灵活、结构简单、驱动简单等特点,具有广阔的应用前景。然而,它们的精确控制依赖于具有非均匀曲率的高精度运动学模型和相关的逆运动学算法。采用基于离散微分几何的离散弹性杆方法,建立了CDCR的变曲率运动学模型,并提出了一种基于虚拟约束力的启发式最优控制算法,有效地求解了反运动学问题。在此基础上设计了具有较高跟踪精度的闭环轨迹跟踪控制器。实验结果表明,在加速度为0.3 m/s2的情况下,机器人的自由端位置与目标位置的动态偏差仅为其总长度的2.7%,而在负载为100 g时,机器人的自由端位置与目标位置的动态偏差为6.2%。在160 mm/s的跟踪速度下,控制误差很小。由此提出的力引导启发式算法为构造连续体机器人的有效动态控制器提供了一种新的方法。
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来源期刊
Mechanism and Machine Theory
Mechanism and Machine Theory 工程技术-工程:机械
CiteScore
9.90
自引率
23.10%
发文量
450
审稿时长
20 days
期刊介绍: Mechanism and Machine Theory provides a medium of communication between engineers and scientists engaged in research and development within the fields of knowledge embraced by IFToMM, the International Federation for the Promotion of Mechanism and Machine Science, therefore affiliated with IFToMM as its official research journal. The main topics are: Design Theory and Methodology; Haptics and Human-Machine-Interfaces; Robotics, Mechatronics and Micro-Machines; Mechanisms, Mechanical Transmissions and Machines; Kinematics, Dynamics, and Control of Mechanical Systems; Applications to Bioengineering and Molecular Chemistry
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