Task Allocation Optimization for Multi-UAV Collaborative Power Inspection at Single Parking Point Article Swipe

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Zhuang Liu , Han Cai , Guiwei Shao , Ning Yang , Zhike Wen , Liwei Zhou ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.1109/access.2025.3611643

This paper focuses on task allocation for multi-UAV collaborative power inspection at a single parking point, proposing an optimization method to minimize the total inspection time per parking. Key contributions include: 1) establishing a dynamic model for multi-rotor UAVs and a collaborative inspection model with clear assumptions; 2) developing a technical route covering task allocation, path planning, and conflict detection; 3) designing an immune algorithm-based parking point selection method and a UAV-operation vehicle collaborative inspection model; 4) implementing a genetic algorithm for sparse tower scenarios and a variable neighborhood search (VNS) algorithm for dense scenarios; 5) studying anti-collision path planning and optimizing takeoff/landing strategies. Case simulations verify the algorithms’ effectiveness in different scenarios, providing a practical UAV allocation scheme to enhance inspection efficiency.

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Type: article
Language: en
Landing Page: https://doi.org/10.1109/access.2025.3611643
OA Status: gold
OpenAlex ID: https://openalex.org/W4414322232

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DOI: https://doi.org/10.1109/access.2025.3611643

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Title: Task Allocation Optimization for Multi-UAV Collaborative Power Inspection at Single Parking Point

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Type: article

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Language: en

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Publication year: 2025

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Publication date: 2025-01-01

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Authors: Zhuang Liu, Han Cai, Guiwei Shao, Ning Yang, Zhike Wen, Liwei Zhou

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Landing page: https://doi.org/10.1109/access.2025.3611643

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OA URL: https://doi.org/10.1109/access.2025.3611643

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Cited by: 0

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