基于广义能量存储函数的双足机器人鲁棒行走无源控制。

Mark R Yeatman, Ge Lv, Robert D Gregg
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引用次数: 3

摘要

提出了一种基于无源的能量跟踪鲁棒双足步行控制器的新推广方法。过去的研究表明,具有已知的恒定机械能的双足极限环可以通过主动驱动能量到该参考点,使其对不平坦的地形和干扰具有鲁棒性。然而,已知恒定机械能的假设限制了这种基于被动的方法在简单玩具模型(通常是被动步行者)中的应用。本文提出的方法允许基于无源的控制器与任意内环控制结合使用,从而产生具有恒定广义系统能量的极限环。我们还证明了所提出的控制方法可以适应任意程度的欠驱动。在七连杆双足模型上的仿真结果表明,所提出的控制方案扩大了系统的吸引力范围,提高了系统对极限环的收敛速度,提高了系统对地面斜坡的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Passivity-Based Control with a Generalized Energy Storage Function for Robust Walking of Biped Robots.

Passivity-Based Control with a Generalized Energy Storage Function for Robust Walking of Biped Robots.

Passivity-Based Control with a Generalized Energy Storage Function for Robust Walking of Biped Robots.

This paper offers a novel generalization of a passivity-based, energy tracking controller for robust bipedal walking. Past work has shown that a biped limit cycle with a known, constant mechanical energy can be made robust to uneven terrains and disturbances by actively driving energy to that reference. However, the assumption of a known, constant mechanical energy has limited application of this passivity-based method to simple toy models (often passive walkers). The method presented in this paper allows the passivity-based controller to be used in combination with an arbitrary inner-loop control that creates a limit cycle with a constant generalized system energy. We also show that the proposed control method accommodates arbitrary degrees of underactuation. Simulations on a 7-link biped model demonstrate that the proposed control scheme enlarges the basin of attraction, increases the convergence rate to the limit cycle, and improves robustness to ground slopes.

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