基于人体多关节臂粘弹性和算子理论的机械臂控制

Shotaro Kubota, M. Deng, Y. Noge
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引用次数: 1

摘要

在老龄化社会和出生率下降的背景下,劳动力数量不断减少,这是一个亟待解决的问题。解决这个问题的一种方法是使用机器人。为此,我们需要对人体的运动进行分析,识别运动的特征。如果将测量到的运动特性应用到机器人身上,就可以实现机器人的类人运动。基于人体多关节臂粘弹性和鲁棒右素数分解条件,研究了一种机器人手臂控制系统。具体来说,我们将人体多关节手臂的粘弹性应用于机器人手臂的跟踪控制器,并确认其遵循目标轨迹。仿真结果验证了该设计方案的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robot arm control based on human multi-joint arm viscoelasiticity and operator theory
In aging society and decrease of birthrate, the number of workers is decresing and it is an urgent problem to be solved. One way to solve this problem is to use a robot. For this way, we are required to analyze the movement of human and identify the characteristics of the movement. And if we can apply the measured characteristic of the movement to the robot, we can realize human-like movement with robot. In this paper, a robot arm control system is discussed based on the human multi-joint arm viscoelasticity and robust right coprime factorization condition. Specifically, we apply the human multijoint arm viscoelasticity to a tracking controller of the robot arm and confirm that it follows the target trajectory. The effectiveness of the proposed design scheme is verified by simulations.
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