arXiv:2608.14244cs.ROcs.SY2026-08

用被动力控抑制柔性负载振动,实现双机器人协同精准操控。

Vibration Suppression in Collaborative Flexible Payload Manipulation Using Passive Force Control

论文配图:Vibration Suppression in Collaborative Flexible Payload Manipulation Using Passive Force Control
图 1 · 摘自论文原文
  • 双机器人主从协作,主端规划轨迹,从端用阻抗控制器感知受力。
  • 通过参数设计使系统总能量被动耗散,有效抑制横向振动。
  • 适合大型重载柔性结构操作,如核聚变装置远程维护。

在大型重型结构运动过程中,振动会严重影响精确操控。为完成预期运动,控制算法必须有效抑制结构振动。在未来的聚变能源反应堆(托卡马克)远程维护等前沿项目中,这类结构的操控被定义为关键任务。本文提出一种基于协作式负载操纵的被动力控策略,用于抑制运动中的柔性负载横向振动。采用两台工业机器人以主-从构型协同作业:主机器人通过预设速度指令引导运动,从机器人则通过阻抗控制器跟踪主机器人施加于负载的估计外力,实现柔顺控制。与现有方法不同,该方案可操控更重更大的柔性物体,同时应对振动抑制及异构机器人特性等挑战。系统动力学采用等效质量-弹簧-阻尼模型建模,证明在合理阻抗参数下,系统总能量可被动耗散,并给出稳定性证明。数值仿真验证了方法有效性,实验结果进一步表明其实际应用价值。

原文摘要 · Abstract (English)

In large and heavy structures, vibrations arise during motion, posing significant challenges for precise manipulation. To accomplish the desired motion, control algorithms must effectively suppress these structural vibrations. In cutting edge projects, such as remote maintenance of future fusion energy reactors (tokamaks), the manipulation of this type of structure is defined as a crucial task. This paper presents a control strategy to suppress transverse vibrations in flexible payloads during motion using a collaborative payload manipulation approach. Two different industrial robot arms are arranged in a leader follower configuration for the manipulation strategy. The leader robot guides the motion with shaped velocity commands, while the follower robot ensures compliance with the estimated external forces applied by the leader on the payload through an admittance controller. Unlike existing methods, the proposed approach enables collaborative manipulation of heavier and larger flexible objects, addressing additional challenges such as vibration suppression and heterogeneous robot specifications. The dynamics of the leader follower payload system are modeled using an equivalent mass spring damper model, and it is shown that, with appropriate admittance parameters, the total energy of the system is passively dissipated. A stability proof is also provided. Numerical simulations validate the proposed method, and experimental results demonstrate its effectiveness.

柔性操控被动控制双机器人振动抑制

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