拟人协调残障手机器人手指键图建模与LQR控制综合

Maryam Iqbal, A. Mahmood
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引用次数: 2

摘要

由于生理上的伸肌和屈肌运动,手部的自主运动是一个复杂的机制。拟人化的手可以有广泛的应用。这些应用包括但不限于主动假肢中的仿生手,辅助外科手术,使其免于不自主的运动,如震颤和颤抖,以及远程应用的机器人抓取器。本文提出了一种部分受损人手协调方案,该方案涉及自然手指和机器人手指的组合。本研究展示了5个手指,21个自由度(DOF)的人手图形模型,其中食指受损,因此被机器人BeBionic手指取代。通过LQR(线性二次型调节器)基于观测器的控制器施加的反馈力来控制中指尖端的角位移。仿真结果显示了对残手机械手指的运动控制,以及与中枢神经系统和自然手指的运动协调。这证明了该方案在主动假肢、外骨骼和上肢康复方面的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bond Graph Modeling and LQR Control Synthesis of a Robotic Digit in Human Impaired Hand for Anthropomorphic Coordination
The voluntary movement of a human hand is a complex mechanism due to the physiological extensor and flexor movements. Anthropomorphic hands can have a wide range of applications. These applications include but are not limited to bionic hands in active prostheses, assisting surgical operations that are free from involuntary movements such as tremors and shudders and robotic grippers for remote applications. A partially impaired human hand coordination scheme involving a combination of natural and robotic digits is proposed in this paper. This research presents five digits, 21 degrees of freedom (DOF) graphical model of a human hand, where the index finger is impaired and therefore replaced with a robotic BeBionic finger. The angular displacement of the tip of the middle finger is controlled through a feedback force applied by the LQR (linear quadratic regulator) observer-based controller. The simulation result shows the control of the movement of robotic fingers of an impaired hand and the movement coordination with the central nervous system (CNS) and the natural digits. This demonstrates the efficiency of the scheme towards active prosthetics, exoskeleton and upper limb rehabilitation.
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