| Issue |
MATEC Web of Conf.
Volume 399, 2024
2024 3rd International Conference on Advanced Electronics, Electrical and Green Energy (AEEGE 2024)
|
|
|---|---|---|
| Article Number | 00006 | |
| Number of page(s) | 5 | |
| DOI | https://doi.org/10.1051/matecconf/202439900006 | |
| Published online | 24 June 2024 | |
Control Method for Up and Down Lines of Transmission Line Operation Robots
1 Electric Power Scientific Research Institute of Guangxi Power Grid Co., GuangXi, China
2 Power Supply Bureau, Longteng Road, Youjiang District, Baise City, Guangxi Province, China BaiSe, China
3 Southern Power Grid Research Institute, GuangZhou, China
* Corresponding Author: 525207143@qq.com
The current transmission line robot up and down the line relies on manual lifting, and this method is labor-intensive, dangerous, and requires the assistance of many people. To address this problem, the paper proposes a control method based on UAV-assisted transmission line power line operation robot up and down the line. Aiming at the characteristics of transmission lines, in order to solve the problem of uneven posture and even side-turning when the robot is on line, the robot adopts the way of lifting with four traction ropes driven by the reel, and analyzes the tilting situation that the robot may encounter when it is on line, and puts forward a BP fuzzy neural network PID-based leveling control method, which compares the rapidity and stability of the leveling of the different control methods in the case of perturbation, and solves the problem of uneven posture and side-turning of the robot when it is on line. the problem of uneven attitude. Finally, a robot lifting attitude leveling experiment is carried out in a simulated field to prove the feasibility of the proposed automatic robot up and down line method in practical applications.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.