基于控制力矩陀螺仪的双足机器人行走和奔跑干扰抑制

IF 1.5 Q3 AUTOMATION & CONTROL SYSTEMS IET Cybersystems and Robotics Pub Date : 2022-11-13 DOI:10.1049/csy2.12070
Haochen Xu, Zhangguo Yu, Xuechao Chen, Chencheng Dong, Huanzhong Chen, Qiang Huang
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引用次数: 1

摘要

在运动中保持平衡是双足机器人完成各种任务的重要前提。目前,双足机器人的平衡控制主要依赖于机器人身体各关节的配合。当机器人运动速度变快时,关节的调节余量减小,机器人的抗干扰能力必然下降。为了解决这一问题,创造性地将控制力矩陀螺仪(CMG)作为全驱动双足机器人的辅助稳定装置,并提出了将控制力矩陀螺仪辅助策略集成到双足机器人的平衡控制框架中。该策略包括模型预测控制模块、分布模块和CMG进动控制器。在它的指挥下,cmg可以有效地辅助机器人抵抗冲击并及时返回到初始位置。对行走和奔跑两足机器人的抗冲击仿真结果证明,在CMGs的帮助下,机器人的抗干扰和保持稳定的能力得到了显著提高。封面图片来源于Haochen Xu et al., https://doi.org/10.1049/csy2.12070的文章《利用控制力矩陀螺仪抑制双足机器人行走和奔跑过程中的扰动》。
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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Disturbance rejection for biped robots during walking and running using control moment gyroscopes

Keeping balance in movement is an important premise for biped robots to complete various tasks. Now, the balance control of biped robots mainly depends on the cooperation of various joints of the robot's body. When robots move faster, the adjustment allowance of joints is reduced, and the robot's anti-disturbance ability will inevitably decline. To solve this problem, the control moment gyroscope (CMG) is creatively used as an auxiliary stabilisation device for fully actuated biped robots and the CMG assistance strategy, which can be integrated into the biped's balance control framework, is proposed. This strategy includes model predictive control module, distribution module, and CMG precession controller. Under the command of it, CMGs can effectively assist the robot in resisting impact and returning to initial positions in time. The results of anti-impact simulation on the walking and running biped robot prove that, with the help of CMGs, the robot's ability to resist disturbance and remain stable is significantly improved.

The cover image is based on the Original Article Disturbance rejection for biped robots during walking and running using control moment gyroscopes by Haochen Xu et al., https://doi.org/10.1049/csy2.12070.

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来源期刊
IET Cybersystems and Robotics
IET Cybersystems and Robotics Computer Science-Information Systems
CiteScore
3.70
自引率
0.00%
发文量
31
审稿时长
34 weeks
期刊最新文献
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