Key parameter design of wall pressing tracked pipeline robot under multiple constraint conditions

Wall pressing tracked pipeline robots have been widely used due to their high movement speed, strong drag force, and strong environmental adaptability. However, due to limitations such as pipeline diameter and shape, the design of their parameters has become a difficult problem. This article analyzes the design methods for the length, width, and head waist angle of a wall pressing tracked robot constrained by C-shaped and T-shaped pipelines. Firstly, based on the spatial position relationship of the wall pressing track pipeline robot in the C-shaped pipeline, flexibility and passability criteria are proposed based on the selection torque and movable space, respectively. Secondly, combined with the motion mode of multi-stage pipeline robots, the combination of actions through T-shaped pipelines was analyzed, and constraint equations were constructed based on spatial geometric relationships. Genetic algorithms were used to select key parameters of the robot. Finally, considering the constraint effects of C-shaped and T-shaped pipelines, the optimal parameters for robots that can pass through C-shaped and T-shaped pipelines are achieved. The robot and ground testing platform are processed, and the ground testing experiment is conduct. The test results show that the robot can pass through C-shaped and T-shaped pipelines well. The test results indicate that this design method is effective.

Authors

Institutions

Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/irac63143.2024.10871299
Primary Topic
Soft Robotics and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Key parameter design of wall pressing tracked pipeline robot under multiple constraint conditions

Shenyao Feng, Peng Yuan, Qiang Huang, Hui Li et al.
Soft Robotics and Applications
article

Key parameter design of wall pressing tracked pipeline robot under multiple constraint conditions

Shenyao Feng, Peng Yuan, Qiang Huang, Hui Li, Ye Tian, Tao Zheng
article en

Abstract

Wall pressing tracked pipeline robots have been widely used due to their high movement speed, strong drag force, and strong environmental adaptability. However, due to limitations such as pipeline diameter and shape, the design of their parameters has become a difficult problem. This article analyzes the design methods for the length, width, and head waist angle of a wall pressing tracked robot constrained by C-shaped and T-shaped pipelines. Firstly, based on the spatial position relationship of the wall pressing track pipeline robot in the C-shaped pipeline, flexibility and passability criteria are proposed based on the selection torque and movable space, respectively. Secondly, combined with the motion mode of multi-stage pipeline robots, the combination of actions through T-shaped pipelines was analyzed, and constraint equations were constructed based on spatial geometric relationships. Genetic algorithms were used to select key parameters of the robot. Finally, considering the constraint effects of C-shaped and T-shaped pipelines, the optimal parameters for robots that can pass through C-shaped and T-shaped pipelines are achieved. The robot and ground testing platform are processed, and the ground testing experiment is conduct. The test results show that the robot can pass through C-shaped and T-shaped pipelines well. The test results indicate that this design method is effective.

Beijing Institute of Technology (CN), North University of China (CN)
Ministry of Education
Openalex Percentile: Top 76%
Soft Robotics and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.