Stabilization control for humanoid robot to walk on inclined plane

Yong-Duk Kim, In-Won Park, Jeong-Ki Yoo, Jong-Hwan Kim
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引用次数: 10

Abstract

In this paper, a novel stabilization control is proposed for humanoid robot to walk dynamically on an inclined plane. Online walking control is indispensable to obtain a stable dynamic walking, even if the walking pattern is provided based on a zero moment point and an angular momentum because modeling errors and external disturbances, which are not expected in the modeling stage, may exist in the actual condition. Considering these issues, this paper proposes a stabilization control, which consists of landing force controller, posture controller and walking pattern generator to walk on the inclined plane. The proposed control does not require a complex dynamic equation of robot and the adjustment of control parameters because it is based on time-domain passivity approach. Moreover, it can guarantee the stability of the controller without requiring any dynamic model information. The proposed control is verified through dynamic walking simulations using Webots simulator.
仿人机器人斜面行走的稳定控制
针对仿人机器人在斜面上的动态行走,提出了一种新的稳定控制方法。即使是基于零力矩点和角动量提供的行走模式,为了获得稳定的动态行走,在线行走控制也是必不可少的,因为在实际情况下可能存在建模阶段没有预料到的建模误差和外部干扰。针对这些问题,本文提出了一种由着陆力控制器、姿态控制器和行走模式生成器组成的斜面行走稳定控制。该控制方法基于时域无源性,不需要建立复杂的机器人动力学方程和调整控制参数。此外,它可以保证控制器的稳定性,而不需要任何动态模型信息。利用Webots仿真器进行动态行走仿真,验证了该控制方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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