阻抗控制
弹道
控制理论(社会学)
对偶(语法数字)
计算机科学
变量(数学)
机器人
机械臂
适应性
控制工程
控制(管理)
工程类
模拟
人工智能
数学
物理
艺术
数学分析
文学类
生态学
天文
生物
作者
Xin Shu,Fenglei Ni,Kang Min,Yechao Liu,Hong Liu
标识
DOI:10.1016/j.isatra.2024.03.011
摘要
This paper aims to tackle the issue of carrying variable loads and disturbances in an impedance-based dual-arm robot. When robots are engaged in transportation tasks, deviations in trajectory due to changing loads and the risk of objects falling under external disturbances or unstable gripping can lead to mission failure. To address these issues, a novel Dual-Arm Adaptive Cooperative Control Framework (ACCF) is proposed. The ACCF is designed to ensure adherence to trajectory constraints in the presence of load variations and to actively respond to sliding or overturning caused by disturbances. The framework is user-friendly and robust, featuring a two-loop arrangement. The inner-loop incorporates an adaptive force control law to robustly control internal forces for dual-arm gripping. The outer-loop utilizes centralized impedance control, incorporating a fast gravity estimation scheme to compensate for trajectory deviations and an active anti-overturning scheme to resist sliding or overturning of objects during disturbances. Experimental evaluations and comparisons are conducted. The results successfully demonstrate the ACCF's adaptability under variable loads and external disturbances, providing a solution for practical dual-arm applications, such as transportation, in future scenarios.
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