Inestigation and Validation of Piplne Robot Wall Pressure Control Strategy

Cheng Liu*, Zhe Tian, Wei Wei, Qingdong Yan, Meng Guo

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Pipeline robots can perform inspection, maintenance, and repair tasks in complex and harsh pipeline environments. To enable pipeline robots to have a strong tractive force and meet the maneuverability requirements in inclined and vertical pipelines, this paper proposes a four-wheel distributed drive wall-pressure type pipeline robot. Initially, the basic structure of the pipeline robot is introduced, primarily consisting of four circumferentially distributed drive wheels and a lifting mechanism. To efficiently drive the pipeline robot under varying inclination angles and wall adhesion conditions, this paper proposes a wall pressure control strategy for the pipeline robot. The motion characteristics of the pipeline robot in different pipeline environments and states are analyzed, and simulations are conducted in MATLAB. The results show that by applying the wall pressure control strategy proposed in this paper, the pipeline robot can adaptively adjust the wall pressure according to changes in the operating environment, significantly reducing energy consumption compared to the traditional maximum wall pressure method.

Original languageEnglish
Title of host publication2024 IEEE 20th International Conference on Automation Science and Engineering, CASE 2024
PublisherIEEE Computer Society
Pages1831-1838
Number of pages8
ISBN (Electronic)9798350358513
DOIs
Publication statusPublished - 2024
Event20th IEEE International Conference on Automation Science and Engineering, CASE 2024 - Bari, Italy
Duration: 28 Aug 20241 Sept 2024

Publication series

NameIEEE International Conference on Automation Science and Engineering
ISSN (Print)2161-8070
ISSN (Electronic)2161-8089

Conference

Conference20th IEEE International Conference on Automation Science and Engineering, CASE 2024
Country/TerritoryItaly
CityBari
Period28/08/241/09/24

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