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Optimal Energy Consumption Path Planning for Quadrotor UAV Transmission Tower Inspection Based on Simulated Annealing Algorithm

Author

Listed:
  • Min Wu

    (School of Electrical Engineering, Guangxi University, Nanning 530004, China)

  • Wuhua Chen

    (School of Electrical Engineering, Guangxi University, Nanning 530004, China)

  • Xiaohong Tian

    (School of Electrical Engineering, Guangxi University, Nanning 530004, China)

Abstract

In order to improve the efficiency of UAVs in transmission tower inspections, the UAV transmission tower inspection energy consumption model is proposed for the existing research in which there is no accurate energy consumption calculation method in transmission tower inspection, and the optimal energy consumption path for UAV transmission tower inspection is designed by combining with simulated annealing algorithm. Firstly, a real experimental environment is built for experimental data collection and analysis, and the energy consumption model for transmission tower inspection is constructed and the influencing factors are discussed and analyzed, and the energy consumption coefficients under different situations are obtained. Second, according to the constructed transmission tower inspection energy consumption model combined with the path planning algorithm, experimental simulation is conducted to plan the optimal energy consumption inspection path, and finally, the above results are verified by carrying out actual measurement experiments. The simulation results show that under different constant loads, the optimal energy consumption path in this paper can save 36.53% and 27.32% compared with the conventional path; compared with the shortest path, it can save 11.16% and 0.45%. The optimal energy consumption path of UAV transmission tower inspection based on the simulated annealing algorithm proposed in this paper effectively improves the efficiency of UAV transmission tower inspection.

Suggested Citation

  • Min Wu & Wuhua Chen & Xiaohong Tian, 2022. "Optimal Energy Consumption Path Planning for Quadrotor UAV Transmission Tower Inspection Based on Simulated Annealing Algorithm," Energies, MDPI, vol. 15(21), pages 1-17, October.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:21:p:8036-:d:956750
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    References listed on IDEAS

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    1. Zhang, Dongdong & Li, Chunjiao & Goh, Hui Hwang & Ahmad, Tanveer & Zhu, Hongyu & Liu, Hui & Wu, Thomas, 2022. "A comprehensive overview of modeling approaches and optimal control strategies for cyber-physical resilience in power systems," Renewable Energy, Elsevier, vol. 189(C), pages 1383-1406.
    2. Zhang, Dongdong & Zhu, Hongyu & Zhang, Hongcai & Goh, Hui Hwang & Liu, Hui & Wu, Thomas, 2022. "An optimized design of residential integrated energy system considering the power-to-gas technology with multi-functional characteristics," Energy, Elsevier, vol. 238(PA).
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    Cited by:

    1. Hubert Szczepaniuk & Edyta Karolina Szczepaniuk, 2022. "Applications of Artificial Intelligence Algorithms in the Energy Sector," Energies, MDPI, vol. 16(1), pages 1-24, December.
    2. Marcin Żugaj & Mohammed Edawdi & Grzegorz Iwański & Sebastian Topczewski & Przemysław Bibik & Piotr Fabiański, 2023. "An Unmanned Helicopter Energy Consumption Analysis," Energies, MDPI, vol. 16(4), pages 1-28, February.

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