Fast online impedance estimation for robot control

Z. Wang, A. Peer, M. Buss
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引用次数: 29

Abstract

In this paper a fast online estimation method of impedance parameters is proposed based on the forgetting factor recursive least squares identification method. The performance of the proposed method is accessed by simulation and robotic experiments. Comparing with existing methods, the proposed method shows fast tracking performance to parameter changes while achieving robustness to noise. The algorithm has been implemented to online robot control and can be generalized to meet other needs.
机器人控制的快速在线阻抗估计
本文提出了一种基于遗忘因子递推最小二乘辨识法的阻抗参数在线快速估计方法。通过仿真和机器人实验验证了该方法的性能。与现有方法相比,该方法对参数变化具有快速跟踪性能,同时对噪声具有鲁棒性。该算法已应用于机器人在线控制中,可推广应用于其他场合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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