Joint Multi-UAV Trajectory Design for Power Line Inspection

GAO Yunfei; HU Yulin; LIU Mingliu; HUANG Yuxi; SUN Peng

doi:10.11999/JEIT231199

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GAO Yunfei, HU Yulin, LIU Mingliu, HUANG Yuxi, SUN Peng. Joint Multi-UAV Trajectory Design for Power Line Inspection[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT231199

Citation:

GAO Yunfei, HU Yulin, LIU Mingliu, HUANG Yuxi, SUN Peng. Joint Multi-UAV Trajectory Design for Power Line Inspection[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT231199

GAO Yunfei, HU Yulin, LIU Mingliu, HUANG Yuxi, SUN Peng. Joint Multi-UAV Trajectory Design for Power Line Inspection[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT231199

Citation:

GAO Yunfei, HU Yulin, LIU Mingliu, HUANG Yuxi, SUN Peng. Joint Multi-UAV Trajectory Design for Power Line Inspection[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT231199

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Joint Multi-UAV Trajectory Design for Power Line Inspection

doi: 10.11999/JEIT231199

1.
Electronic and Information School, Wuhan University, Wuhan 430072, China
2.
State Grid Hubei Electric Power Research Institute, Wuhan 430077, China
3.
Duke Kunshan University, Kunshan 215316, China

Funds: The National Natural Science Foundation of China (62101389), The science and technology projects of State Grid Hubei Electric Power Co, Ltd.. (52153223000D), The seed-fund support program at the WHU-DKU joint research platform (WHUDKUZZJJ202201)

Received Date: 2023-10-31
Rev Recd Date: 2024-03-19

Available Online: 2024-04-10

Abstract

Abstract

Unmanned Aerial Vehicles (UAV) technology holds significant importance and offers extensive potential for application in the field of inspection. Taking into account the limited endurance of the UAV, it needs to fly from the nest to the designated inspection area, complete the inspection of the transmission tower, and then return to the nest safely before the battery is exhausted. For large-scale inspection scenarios aiming, a multi-UAV inspection method is proposed to minimize inspection time. In detail, the k-means++ algorithm is used to optimize UAVs task allocation and the modified simulated annealing algorithm is utilized to optimize the inspection trajectory to improve inspection efficiency. Finally, the tower pole distribution data from a simulated real-world environment, the proposed algorithm is employed to assign UAVs tasks and design trajectories. The simulation results confirm that the proposed algorithm can significantly reduce the total inspection time through multi-UAV task allocation and trajectory design.
- UAV inspection,
- Trajectory design,
- Inspection task allocation

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References(19)

References

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