Vision-Based Virtual Impedance Control for Robotic System Without Prespecified Task Trajectory

被引：6

作者：

Ding, Shuai ^{[1
]}

Peng, Jinzhu ^{[1
]}

Xin, Jianbin ^{[1
]}

Zhang, Hui ^{[2
]}

Wang, Yaonan ^{[1
,2
]}

机构：

[1] Zhengzhou Univ, Sch Elect & Informat Engn, Zhengzhou 450001, Peoples R China

[2] Hunan Univ, Coll Elect & Informat Engn, Changsha 410082, Peoples R China

来源：

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | 2023年 / 70卷 / 06期

基金：

中国国家自然科学基金; 国家重点研发计划;

关键词：

Impedance; Robots; Task analysis; Trajectory; Robot kinematics; Visualization; Service robots; Neural network; potential field; robotic system; virtual impedance control; visual sensing;

D O I：

10.1109/TIE.2022.3199917

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This article proposes a vision-based virtual impedance control (VBVIC) scheme for the robotic system without prespecified task trajectory, where a neural network (NN) is used to compensate for the unmodeled dynamics and parameter uncertainties. In the proposed scheme, a novel control framework combined virtual potential field (VPF) with the impedance control is proposed to achieve noncontact impedance control, where the task trajectory does not need to be prespecified but is generated by integrating the bioinspired Tau-J into the virtual impedance model. Moreover, the virtual force generated by VPF is utilized to achieve the shaping and tracking of the task trajectory in the virtual impedance control scheme, and the information of target and obstacle is obtained by the visual sensing. The proposed VPF-based VBVIC scheme is analyzed by the Lyapunov stability theory and validated by a carrying task in simulations and experiments, respectively.

引用

页码：6046 / 6056

页数：11

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