Design and stability performance optimization of a novel hybrid inspection robot walking device for smart grid applications

Inspecting in high-altitude windy environments requires maintaining a stable attitude to avoid significant oscillations, which is a crucial factor in advancing the use of hybrid power transmission line inspection robots (PTLIRs) in real-world scenarios for the electrical power and energy industry. We developed and optimized a novel walking device to improve the safety of hybrid PTLIRs operating in strong wind conditions. First, we investigate the operational conditions of transmission line inspection and design a walking device capable of transporting a flight device to be suspended under the line for inspection purposes. Second, a force equilibrium analysis is performed to explore the relationship between the key structural parameters of the walking device and the wind-induced deflection of the robot. A multiobjective optimization model is formulated to minimize the maximum deflection angle of the robot along three axes under wind loads. Finally, an optimization algorithm, using an improved non-dominated sorting particle swarm optimization (NSPSO) approach, is proposed to solve the model with good global search ability and fast convergence speed. A test platform is constructed to collect the wind deflection angle of a self-developed hybrid PTLIR under the transmission line. The test results demonstrate that the walking device can carry 30 kg to move along the transmission line. The average deflection angle of the robot around the Z axis is the highest under the influence of wind force level 7 (wind speed of 15.5 m/s) perpendicular to the windward surface of the robot. After optimization, the maximum deflection angle is limited to 10.38°, aligning within safety thresholds. The optimization algorithm effectively reduces the maximum deflection angles around the X, Z, and Y axes by 33.19 %, 39.21 %, and 13.23 %, with minimal average errors of 2.40 %, 3.87 %, and 2.13 %, respectively. The research in this paper can solve the bottleneck problem of robot practicality, which has important theoretical significance and practical application value for the safety, stability, and intelligent operation and maintenance management of power transmission lines. • A new type of transmission line inspection robot walking device for the power grid has been developed. • The inspection method suspended under the transmission line brings better stability and a more convenient design. • The prediction accuracy of robot swing based on the single pendulum model meets the requirements of engineering applications. • The dynamic variable neighborhood search strategy can improve the dispersion of non-dominated solutions obtained.

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Publication Details

Journal
Alexandria Engineering Journal
Published
2024-10-03
DOI
https://doi.org/10.1016/j.aej.2024.09.067
Citations
7
Primary Topic
Power Line Inspection Robots
Type
article
Field-Weighted Citation Impact
1.49

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article

Design and stability performance optimization of a novel hybrid inspection robot walking device for smart grid applications

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7 citations
Alexandria Engineering Journal
Power Line Inspection Robots
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article

Design and stability performance optimization of a novel hybrid inspection robot walking device for smart grid applications

Xinyan Qin, Jin Sheng Lei, Peng Jin, Yanqi Wang, Wenxing Jia, Shenting Zhang
article en
7 citations

Abstract

Inspecting in high-altitude windy environments requires maintaining a stable attitude to avoid significant oscillations, which is a crucial factor in advancing the use of hybrid power transmission line inspection robots (PTLIRs) in real-world scenarios for the electrical power and energy industry. We developed and optimized a novel walking device to improve the safety of hybrid PTLIRs operating in strong wind conditions. First, we investigate the operational conditions of transmission line inspection and design a walking device capable of transporting a flight device to be suspended under the line for inspection purposes. Second, a force equilibrium analysis is performed to explore the relationship between the key structural parameters of the walking device and the wind-induced deflection of the robot. A multiobjective optimization model is formulated to minimize the maximum deflection angle of the robot along three axes under wind loads. Finally, an optimization algorithm, using an improved non-dominated sorting particle swarm optimization (NSPSO) approach, is proposed to solve the model with good global search ability and fast convergence speed. A test platform is constructed to collect the wind deflection angle of a self-developed hybrid PTLIR under the transmission line. The test results demonstrate that the walking device can carry 30 kg to move along the transmission line. The average deflection angle of the robot around the Z axis is the highest under the influence of wind force level 7 (wind speed of 15.5 m/s) perpendicular to the windward surface of the robot. After optimization, the maximum deflection angle is limited to 10.38°, aligning within safety thresholds. The optimization algorithm effectively reduces the maximum deflection angles around the X, Z, and Y axes by 33.19 %, 39.21 %, and 13.23 %, with minimal average errors of 2.40 %, 3.87 %, and 2.13 %, respectively. The research in this paper can solve the bottleneck problem of robot practicality, which has important theoretical significance and practical application value for the safety, stability, and intelligent operation and maintenance management of power transmission lines. • A new type of transmission line inspection robot walking device for the power grid has been developed. • The inspection method suspended under the transmission line brings better stability and a more convenient design. • The prediction accuracy of robot swing based on the single pendulum model meets the requirements of engineering applications. • The dynamic variable neighborhood search strategy can improve the dispersion of non-dominated solutions obtained.

Alexandria Engineering JournalVol. 109
Shihezi University (CN)
National Natural Science Foundation of China, Shihezi University, Xinjiang Production and Construction Corps
Affordable and clean energy
Openalex Percentile: Top 20%
Power Line Inspection Robots
1.49
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