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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2020
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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. |
format | Online Article Text |
id | pubmed-10358565 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
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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