基于力扰动观测器的柔性与动态环境交互力控制

Kangwagye Samuel, D. Cheon, Sehoon Oh
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引用次数: 3

摘要

在设计与未知环境相互作用的高性能机器人力控制系统时,干扰是应该处理的主要挑战之一。为了实现高性能的动态交互,本文提出了一种实现力扰动观测器的鲁棒力控制系统。这种控制技术大大提高了系统对环境的动态顺应性。整个力控制结构由带力传感器的伺服系统、所提出的FDOB、前馈和反馈控制器以及用于衰减力传感器反馈信号测量噪声的低通滤波器组成。采用非参数系统辨识方法,得到了该系统的标称模型。然后FDOB通过利用电机扭矩和力传感器测量信号作为其输入来估计干扰。对FDOB和整体力控制系统进行了理论分析。为了验证所提出的控制结构,在考虑各种场景的情况下进行了实验,从中发现它比传统的力控制方法表现出更好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Force Disturbance Observer-based Force Control for Compliant Interaction with Dynamic Environment
Disturbances are one of the major challenges that should be dealt with when designing high performance force control systems for robots that interact with unknown environments. To achieve high performance dynamic interaction, this paper presents a robust force control system that implements a force disturbance observer (FDOB). Dynamic compliance with the environment is greatly improved with this control technique. The whole force control structure consists of a servo system with a force sensor, the proposed FDOB, feedforward and feedback controllers, and the low-pass filter for attenuating measurement noises of the force sensor feedback signal. The nominal model of the proposed FDOB is obtained by nonparametric system identification method. The FDOB then estimates disturbances by utilizing the motor torque and force sensor measurement signals as its inputs. Theoretical analyses of the FDOB and the overall force control system are conducted. To validate the proposed control structure, experiments are conducted while considering various scenarios from where it is found out that it shows superior performance over the conventional force control method.
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