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500kV变电站接地作业机器人的作业控制方法研究

黎晋宏 王旭红 樊绍胜

电力学报2025,Vol.40Issue(3):182-194,13.
电力学报2025,Vol.40Issue(3):182-194,13.DOI:10.13357/j.dlxb.2025.020

500kV变电站接地作业机器人的作业控制方法研究

Research on the Operation Control Method of Grounding Operation Robot in 500 kV Substation

黎晋宏 1王旭红 1樊绍胜1

作者信息

  • 1. 长沙理工大学 电气与信息工程学院,长沙 410114
  • 折叠

摘要

Abstract

To address the inefficiency and high risk of manual grounding operations in 500 kV substations,a com-pact and lightweight grounding robot using drone rope hanging and robot suspension system is developed.The YOLOv11 target detection algorithm is employed to recognize the monkey head clamp and conductor,and bin-ocular cameras are used to obtain the three-dimensional coordinates of the relevant components.An MSFNet-based gap recognition algorithm between the monkey head clamp and conductor is proposed to assist the robot in controlling the gap during the clamping operation.A three-ring control based on position,speed,and current is used to hang the monkey head clamp on the conductor,followed by RBF-PID control of the rotational manipu-lator to secure the clamp on the conductor.Simulations and field tests show that the visual recognition algorithm achieves overall average recognition rates of 97%and 87.5%for the monkey head clamp and conductor,respec-tively.The three-dimensional coordinates measured by binocular camera deviate less from actual coordinates by 1 cm,meeting operational requirements.The RBF-PID control,aided by feedback from the gap recognition al-gorithm,effectively and robustly completed the clamping operation,confirming the control method's feasibili-ty.The designed grounding robot can efficiently and high-quality perform grounding operations in substations,and have significant practical application value and significance.

关键词

变电站/机器人/接地作业/YOLOv11/三维定位/间隙识别/MSFNet/RBF-PID

Key words

substation/robot/grounding operation/YOLOv11/three-dimensional positioning/gap recognition/MSFNet/RBF-PID

分类

动力与电气工程

引用本文复制引用

黎晋宏,王旭红,樊绍胜..500kV变电站接地作业机器人的作业控制方法研究[J].电力学报,2025,40(3):182-194,13.

基金项目

国家自然科学基金(62473065) (62473065)

湖南省自然科学基金项目(2023JJ50078). (2023JJ50078)

电力学报

1005-6548

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