Research on trajectory planning of closed loop grouting robot
In order to promote building intelligence and solve the disadvantages of traditional grouting technology, the trajectory planning of closed-loop grouting robot was designed. The minimumsnap optimization function was used to optimize the A* algorithm to realize the 2D trajectory planning, which could...
Guardado en:
Autores principales: | , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
SAGE Publishing
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/0a628f15ea60433e9749aa656fd3b5d3 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:0a628f15ea60433e9749aa656fd3b5d3 |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:0a628f15ea60433e9749aa656fd3b5d32021-12-02T03:33:55ZResearch on trajectory planning of closed loop grouting robot1687-814010.1177/16878140211053414https://doaj.org/article/0a628f15ea60433e9749aa656fd3b5d32021-11-01T00:00:00Zhttps://doi.org/10.1177/16878140211053414https://doaj.org/toc/1687-8140In order to promote building intelligence and solve the disadvantages of traditional grouting technology, the trajectory planning of closed-loop grouting robot was designed. The minimumsnap optimization function was used to optimize the A* algorithm to realize the 2D trajectory planning, which could obtain a smooth, continuous route, and planning diagram of time distribution, speed, acceleration, and jerk. Further, the weight function of the improved A* algorithm was adjusted to perform 3D trajectory planning to reduce redundant nodes in the route. A new approaching law adaptive sliding mode control method was used to achieve precise trajectory tracking of the robotic arm and reduce the problem of chattering in sliding mode control. Through the design of closed-loop grouting robot and the research of trajectory planning, the two-dimensional and three-dimensional paths of grouting robot could be optimized. The system could realize automatic grouting operation. It could promote the development of high efficiency and safety in the construction grouting industry.Runmei ZhangRui RenGuan LuoShuai LiLijun BiBin YuanSAGE PublishingarticleMechanical engineering and machineryTJ1-1570ENAdvances in Mechanical Engineering, Vol 13 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Mechanical engineering and machinery TJ1-1570 |
spellingShingle |
Mechanical engineering and machinery TJ1-1570 Runmei Zhang Rui Ren Guan Luo Shuai Li Lijun Bi Bin Yuan Research on trajectory planning of closed loop grouting robot |
description |
In order to promote building intelligence and solve the disadvantages of traditional grouting technology, the trajectory planning of closed-loop grouting robot was designed. The minimumsnap optimization function was used to optimize the A* algorithm to realize the 2D trajectory planning, which could obtain a smooth, continuous route, and planning diagram of time distribution, speed, acceleration, and jerk. Further, the weight function of the improved A* algorithm was adjusted to perform 3D trajectory planning to reduce redundant nodes in the route. A new approaching law adaptive sliding mode control method was used to achieve precise trajectory tracking of the robotic arm and reduce the problem of chattering in sliding mode control. Through the design of closed-loop grouting robot and the research of trajectory planning, the two-dimensional and three-dimensional paths of grouting robot could be optimized. The system could realize automatic grouting operation. It could promote the development of high efficiency and safety in the construction grouting industry. |
format |
article |
author |
Runmei Zhang Rui Ren Guan Luo Shuai Li Lijun Bi Bin Yuan |
author_facet |
Runmei Zhang Rui Ren Guan Luo Shuai Li Lijun Bi Bin Yuan |
author_sort |
Runmei Zhang |
title |
Research on trajectory planning of closed loop grouting robot |
title_short |
Research on trajectory planning of closed loop grouting robot |
title_full |
Research on trajectory planning of closed loop grouting robot |
title_fullStr |
Research on trajectory planning of closed loop grouting robot |
title_full_unstemmed |
Research on trajectory planning of closed loop grouting robot |
title_sort |
research on trajectory planning of closed loop grouting robot |
publisher |
SAGE Publishing |
publishDate |
2021 |
url |
https://doaj.org/article/0a628f15ea60433e9749aa656fd3b5d3 |
work_keys_str_mv |
AT runmeizhang researchontrajectoryplanningofclosedloopgroutingrobot AT ruiren researchontrajectoryplanningofclosedloopgroutingrobot AT guanluo researchontrajectoryplanningofclosedloopgroutingrobot AT shuaili researchontrajectoryplanningofclosedloopgroutingrobot AT lijunbi researchontrajectoryplanningofclosedloopgroutingrobot AT binyuan researchontrajectoryplanningofclosedloopgroutingrobot |
_version_ |
1718401711850127360 |