Collaborative Control of Space Flexible Multiarm Robot Exploiting Stress Stiffening Effect

IF 5.7 2区 计算机科学 Q1 ENGINEERING, AEROSPACE IEEE Transactions on Aerospace and Electronic Systems Pub Date : 2024-09-12 DOI:10.1109/TAES.2024.3454020
Qingsheng Wei;Yuning Song;Cheng Wei;Xibin Cao;Yong Qian;Wenlong Li
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Abstract

Using space multiarm robots for operation is an advanced and challenging space technology. This article proposes a control strategy with compliance and variable stiffness for space multiarm robots. First, the system composition of the space multiarm robot is introduced. In particular, a quick locking and releasing device is proposed, which allows the robot to switch between open-chain and self-closed-chain configurations to specific task requirements. Then, the dynamic models of the space multiarm robot considering joint flexibility are established for two configurations. Furthermore, the stress stiffening effect is introduced, proving that the flexible robot's structural stiffness can be changed by adjusting the internal force in the self-closed-chain configuration. Next, a composite force control strategy for the space multiarm robot considering flexibility is designed based on singular perturbation theory to achieve variable stiffness and compliance control. Finally, the proposed collaborative control strategy is validated via simulations and experiments. The results show that the control strategy actively adjusts system stiffness while maintaining control compliance.
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利用应力刚化效应实现空间柔性多臂机器人的协同控制
利用空间多臂机器人进行作业是一项先进而富有挑战性的空间技术。提出了一种空间多臂机器人柔顺变刚度控制策略。首先,介绍了空间多臂机器人的系统组成。特别地,提出了一种快速锁定和释放装置,使机器人能够根据特定的任务要求在开链和自闭链构型之间切换。然后,建立了考虑关节柔性的空间多臂机器人两种构型的动力学模型。在此基础上,引入了应力强化效应,证明了在自闭链构型下,通过调整内力可以改变柔性机器人的结构刚度。其次,基于奇异摄动理论,设计了考虑柔性的空间多臂机器人复合力控制策略,实现了变刚度和变柔度控制。最后,通过仿真和实验验证了所提出的协同控制策略。结果表明,该控制策略在保持控制顺应性的同时,能主动调节系统刚度。
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来源期刊
CiteScore
7.80
自引率
13.60%
发文量
433
审稿时长
8.7 months
期刊介绍: IEEE Transactions on Aerospace and Electronic Systems focuses on the organization, design, development, integration, and operation of complex systems for space, air, ocean, or ground environment. These systems include, but are not limited to, navigation, avionics, spacecraft, aerospace power, radar, sonar, telemetry, defense, transportation, automated testing, and command and control.
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