柔性机器人机械臂力与运动统一自适应积分控制。

IF 6.5 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS ISA transactions Pub Date : 2025-03-01 Epub Date: 2025-01-27 DOI:10.1016/j.isatra.2025.01.030
Carlos R. de Cos , José Ángel Acosta
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引用次数: 0

摘要

本文提出了一种柔性关节机械臂运动与力的非线性自适应控制策略。我们的方法提供接触时的力控制和不接触时的鲁棒运动控制,所有这些都不需要控制开关。这种混合接触/非接触情况下的自调整行为源于力和运动控制的统一表述,以及基于积分转置的逆运动学核心和自适应更新律,以应对机械臂灵活性和接触刚度。通过李雅普诺夫分析,保证了所有信号的全局有界性和控制器的渐近稳定性。最后,我们通过实验验证了它的适用性,在现实的混合接触场景中使用低成本的硬件,证明了低计算需求。
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Unified force and motion adaptive-integral control of flexible robot manipulators
In this paper, we propose an adaptive nonlinear strategy for the motion and force control of manipulators with flexible joints. Our approach provides force control when in contact and robust motion control in its absence, all without the need for a control switch. This self-tuning behaviour for mixed contact/non-contact scenarios results from a unified formulation of force and motion control, with an integral transpose-based inverse kinematics core and adaptive update laws to cope with the manipulator flexibility and the contact stiffnesses. The global boundedness of all signals and the asymptotic stability of this controller are guaranteed via Lyapunov analysis. Finally, we validate its applicability experimentally by using low-cost hardware in a realistic mixed-contact scenario, demonstrating low computational demand.
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来源期刊
ISA transactions
ISA transactions 工程技术-工程:综合
CiteScore
11.70
自引率
12.30%
发文量
824
审稿时长
4.4 months
期刊介绍: ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.
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