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Research on Surface Tracking and Constant Force Control of a Grinding Robot

To improve the quality and efficiency of robot grinding, a design and a control algorithm for a robot used for grinding the surfaces of large, curved workpieces with unknown parameters, such as wind turbine blades, are proposed herein. Firstly, the structure and motion mode of the grinding robot are...

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Detalles Bibliográficos
Autores principales: Shi, Xiaohua, Li, Mingyang, Dong, Yuehu, Feng, Shangyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10221238/
https://www.ncbi.nlm.nih.gov/pubmed/37430614
http://dx.doi.org/10.3390/s23104702
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author Shi, Xiaohua
Li, Mingyang
Dong, Yuehu
Feng, Shangyu
author_facet Shi, Xiaohua
Li, Mingyang
Dong, Yuehu
Feng, Shangyu
author_sort Shi, Xiaohua
collection PubMed
description To improve the quality and efficiency of robot grinding, a design and a control algorithm for a robot used for grinding the surfaces of large, curved workpieces with unknown parameters, such as wind turbine blades, are proposed herein. Firstly, the structure and motion mode of the grinding robot are determined. Secondly, in order to solve the problem of complexity and poor adaptability of the algorithm in the grinding process, a force/position hybrid control strategy based on fuzzy PID is proposed which greatly improves the response speed and reduces the error of the static control strategy. Compared with normal PID, fuzzy PID has the advantages of variable parameters and strong adaptability; the hydraulic cylinder used to adjust the angle of the manipulator can control the speed offset within 0.27 rad/s, and the grinding process can be carried out directly without obtaining the specific model of the surface to be machined. Finally, the experiments are carried out, the grinding force and feed speed are maintained within the allowable error range of the expected value, and the results verify the feasibility and effectiveness of the position tracking and constant force control strategy in this paper. The surface roughness of the blade is maintained within Ra = 2~3 μm after grinding, which proves that the grinding quality meets the requirements of the best surface roughness required for the subsequent process.
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spelling pubmed-102212382023-05-28 Research on Surface Tracking and Constant Force Control of a Grinding Robot Shi, Xiaohua Li, Mingyang Dong, Yuehu Feng, Shangyu Sensors (Basel) Article To improve the quality and efficiency of robot grinding, a design and a control algorithm for a robot used for grinding the surfaces of large, curved workpieces with unknown parameters, such as wind turbine blades, are proposed herein. Firstly, the structure and motion mode of the grinding robot are determined. Secondly, in order to solve the problem of complexity and poor adaptability of the algorithm in the grinding process, a force/position hybrid control strategy based on fuzzy PID is proposed which greatly improves the response speed and reduces the error of the static control strategy. Compared with normal PID, fuzzy PID has the advantages of variable parameters and strong adaptability; the hydraulic cylinder used to adjust the angle of the manipulator can control the speed offset within 0.27 rad/s, and the grinding process can be carried out directly without obtaining the specific model of the surface to be machined. Finally, the experiments are carried out, the grinding force and feed speed are maintained within the allowable error range of the expected value, and the results verify the feasibility and effectiveness of the position tracking and constant force control strategy in this paper. The surface roughness of the blade is maintained within Ra = 2~3 μm after grinding, which proves that the grinding quality meets the requirements of the best surface roughness required for the subsequent process. MDPI 2023-05-12 /pmc/articles/PMC10221238/ /pubmed/37430614 http://dx.doi.org/10.3390/s23104702 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Shi, Xiaohua
Li, Mingyang
Dong, Yuehu
Feng, Shangyu
Research on Surface Tracking and Constant Force Control of a Grinding Robot
title Research on Surface Tracking and Constant Force Control of a Grinding Robot
title_full Research on Surface Tracking and Constant Force Control of a Grinding Robot
title_fullStr Research on Surface Tracking and Constant Force Control of a Grinding Robot
title_full_unstemmed Research on Surface Tracking and Constant Force Control of a Grinding Robot
title_short Research on Surface Tracking and Constant Force Control of a Grinding Robot
title_sort research on surface tracking and constant force control of a grinding robot
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10221238/
https://www.ncbi.nlm.nih.gov/pubmed/37430614
http://dx.doi.org/10.3390/s23104702
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