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Trajectory tracking control of 7-DOF redundant robot based on estimation of intention in physical human-robot interaction

Collaborative robot has been widespread application prospect, such as homes, manufacturing, and health-care etc. In physical human-robot interaction, the external force appears inevitably in contact with environment or human, especially the interactive tasks such as trajectory tracking requirements...

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Detalles Bibliográficos
Autores principales: Ye, Lan, Xiong, Genliang, Zeng, Cheng, Zhang, Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10358565/
https://www.ncbi.nlm.nih.gov/pubmed/32924809
http://dx.doi.org/10.1177/0036850420953642
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author Ye, Lan
Xiong, Genliang
Zeng, Cheng
Zhang, Hua
author_facet Ye, Lan
Xiong, Genliang
Zeng, Cheng
Zhang, Hua
author_sort Ye, Lan
collection PubMed
description Collaborative robot has been widespread application prospect, such as homes, manufacturing, and health-care etc. In physical human-robot interaction, the external force appears inevitably in contact with environment or human, especially the interactive tasks such as trajectory tracking requirements and force compliance control. In this article, a method based on interaction intention estimation, which solve the problem of trajectory tracking accuracy and force compliance control in the same direction for the 7-DOF robot, is proposed. The increased virtual force depended on the manipuility performance index and inverse kinematic solution used the kinematic decoupling method based on the redundant angle avoid the singularity of redundant robot. Then, based on interactive intention estimation, a control strategy of variable impedance sliding mode theory in the presence of virtual force and contact force is proposed to achieve the trajectory tracking. We adopted hyperbolic tangent function to alleviate the chattering problem caused by switch function and validated the control system stability by Lyapunov theorem. Finally, Matlab simulations exhibit a 97.8% of high tracking accuracy amid the external force is 43% less than variable impedance parameters. It is therefore proved that the proposed method can achieve asymptotic tracking and the compliant behavior in physical human-robot interaction.
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spelling pubmed-103585652023-08-09 Trajectory tracking control of 7-DOF redundant robot based on estimation of intention in physical human-robot interaction Ye, Lan Xiong, Genliang Zeng, Cheng Zhang, Hua Sci Prog Article Collaborative robot has been widespread application prospect, such as homes, manufacturing, and health-care etc. In physical human-robot interaction, the external force appears inevitably in contact with environment or human, especially the interactive tasks such as trajectory tracking requirements and force compliance control. In this article, a method based on interaction intention estimation, which solve the problem of trajectory tracking accuracy and force compliance control in the same direction for the 7-DOF robot, is proposed. The increased virtual force depended on the manipuility performance index and inverse kinematic solution used the kinematic decoupling method based on the redundant angle avoid the singularity of redundant robot. Then, based on interactive intention estimation, a control strategy of variable impedance sliding mode theory in the presence of virtual force and contact force is proposed to achieve the trajectory tracking. We adopted hyperbolic tangent function to alleviate the chattering problem caused by switch function and validated the control system stability by Lyapunov theorem. Finally, Matlab simulations exhibit a 97.8% of high tracking accuracy amid the external force is 43% less than variable impedance parameters. It is therefore proved that the proposed method can achieve asymptotic tracking and the compliant behavior in physical human-robot interaction. SAGE Publications 2020-09-14 /pmc/articles/PMC10358565/ /pubmed/32924809 http://dx.doi.org/10.1177/0036850420953642 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Article
Ye, Lan
Xiong, Genliang
Zeng, Cheng
Zhang, Hua
Trajectory tracking control of 7-DOF redundant robot based on estimation of intention in physical human-robot interaction
title Trajectory tracking control of 7-DOF redundant robot based on estimation of intention in physical human-robot interaction
title_full Trajectory tracking control of 7-DOF redundant robot based on estimation of intention in physical human-robot interaction
title_fullStr Trajectory tracking control of 7-DOF redundant robot based on estimation of intention in physical human-robot interaction
title_full_unstemmed Trajectory tracking control of 7-DOF redundant robot based on estimation of intention in physical human-robot interaction
title_short Trajectory tracking control of 7-DOF redundant robot based on estimation of intention in physical human-robot interaction
title_sort trajectory tracking control of 7-dof redundant robot based on estimation of intention in physical human-robot interaction
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10358565/
https://www.ncbi.nlm.nih.gov/pubmed/32924809
http://dx.doi.org/10.1177/0036850420953642
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