Governed by: Ministry of Industry and Information Technology of the People's Republic of China
Sponsored by: Northwestern Polytechnical University  Chinese Society Aeronautics and Astronautics
Address: Aviation Building,Youyi Campus, Northwestern Polytechnical University
Research on UAV Path Planning Algorithm Based on Improved Virtual Spring Method
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Affiliation:

Kunming University of Science and Technology

Clc Number:

V249. 1;V279

Fund Project:

Yunnan Provincial Natural Science Foundation

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    Abstract:

    Aiming at the path planning problem of UAVs and the problems of target unreachability and easy oscillation of narrow channels in the path planning process of the virtual spring method, a UAV path planning algorithm that improves the virtual spring method is proposed. Firstly, the repulsive force formula between the UAV and the obstacle and the traction formula between the UAV and the target point are established to complete the local path planning of the UAV. Secondly, the concept of boundary force is introduced into the virtual spring method to solve the problems of easy oscillation and target unreachability in the narrow channel of UAV. Finally, the effectiveness of the proposed method is verified in combination with simulation experiments.The simulation results show that compared with the traditional virtual spring model and the improved virtual spring model, the improved virtual spring algorithm based on boundary force proposed in this paper forms a smoother path for UAV path planning in the narrow channel environment, and enables the UAV to reach the target point smoothly when the target is not reachable, and is able to plan UAV paths in a relatively complex environment.

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History
  • Received:October 12,2023
  • Revised:December 10,2023
  • Adopted:February 06,2024
  • Online: September 29,2024
  • Published:
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