腿机器人动态运动的基于本体感知的全身抗扰控制

IF 4.6 2区 计算机科学 Q2 ROBOTICS IEEE Robotics and Automation Letters Pub Date : 2023-10-04 DOI:10.1109/LRA.2023.3322081
Zhengguo Zhu;Guoteng Zhang;Zhongkai Sun;Teng Chen;Xuewen Rong;Anhuan Xie;Yibin Li
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引用次数: 0

摘要

这封信提出了一个腿式机器人的控制框架,使其能够自我感知和抵抗外部干扰。首先,提出了一种新的基于本体感觉的扰动估计器。与其他扰动估计器相比,该估计器在滤除地面干扰噪声和抑制估计误差积累方面具有显著优势。此外,我们的估计器是一个完全基于本体感觉的估计员,不需要任何外部感觉设备或观察者。其次,我们提出了一种分层优化全身控制器(WBC),该控制器考虑了全身动力学、驱动极限、外部扰动和交互约束。最后,在点足两足机器人BRAVER上进行的大量实验验证了所提出的估计器和控制器在各种扰动条件下的能力。
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Proprioceptive-Based Whole-Body Disturbance Rejection Control for Dynamic Motions in Legged Robots
This letter presents a control framework for legged robots that enables self-perception and resistance to external disturbances. First, a novel proprioceptive-based disturbance estimator is proposed. Compared with other disturbance estimators, this estimator possesses notable advantages in terms of filtering foot-ground interaction noise and suppressing the accumulation of estimation errors. Additionally, our estimator is a fully proprioceptive-based estimator, eliminating the need for any exteroceptive devices or observers. Second, we present a hierarchical optimized whole-body controller (WBC), which takes into account the full body dynamics, the actuation limits, the external disturbances, and the interactive constraints. Finally, extensive experimental trials conducted on the point-foot biped robot BRAVER validate the capabilities of the proposed estimator and controller under various disturbance conditions.
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来源期刊
IEEE Robotics and Automation Letters
IEEE Robotics and Automation Letters Computer Science-Computer Science Applications
CiteScore
9.60
自引率
15.40%
发文量
1428
期刊介绍: The scope of this journal is to publish peer-reviewed articles that provide a timely and concise account of innovative research ideas and application results, reporting significant theoretical findings and application case studies in areas of robotics and automation.
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