适应接触:基于被动的动态运动原语的能量罐和任务能量

Erfan Shahriari, Aljaz Kramberger, A. Gams, A. Ude, S. Haddadin
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引用次数: 33

摘要

在本文中,我们开发了一个框架,将演示轨迹编码为阻抗控制机器人的周期性动态运动原语(DMP),并对其进行修改以实现任务目标,即根据力反馈进行适应,并通过导纳控制器编码所需的扳手轮廓。这种行为本身就会破坏稳定性。因此,对整个系统进行了无源分析,并基于输入电源端口和演示的参考功率设计了无源观测器(PO)。在此基础上,根据无源性准则引入了DMP相位变化规律,实现了基于无源性准则的相位调整。然而,由于这并不一定保证无源性,因此使用了合适的虚拟能量罐。库卡LWR-4机器人抛光未知表面的实验结果表明了所提控制器在现实世界中的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adapting to contacts: Energy tanks and task energy for passivity-based dynamic movement primitives
In this paper, we develop a framework to encode demonstrated trajectories as periodic dynamic motion primitives (DMP) for an impedance-controlled robot and their modification to fulfil the task objective, i. e. to adapt based on the force feedback and encoded desired wrench profile via an admittance controller. This behavior by itself can violate stability. Therefore, a passivity analysis for the whole system is presented, and based on input power ports and the demonstrated reference power, a passivity observer (PO) is designed. Subsequently, a DMP phase altering law is introduced according to the passivity criterion in order to adjust the phase based on the passivity criterion. However, since this does not necessarily guarantee passivity, a suitable virtual energy tank is used. Experimental results on a Kuka LWR-4 robot polishing an unknown surface underline the real world applicability the suggested controller.
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