Paper
15 February 2022 Research on collaborative search task planning of UAV swarm in dynamic environment
Author Affiliations +
Proceedings Volume 12166, Seventh Asia Pacific Conference on Optics Manufacture and 2021 International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2021); 121665P (2022) https://doi.org/10.1117/12.2617598
Event: Seventh Asia Pacific Conference on Optics Manufacture and 2021 International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2021), 2021, Hong Kong, Hong Kong
Abstract
UAV (Unmanned Aerial Vehicle) swarm search has the advantages of flexible deployment, no casualties, and high cost-effectiveness. It has become a force that cannot be ignored in the battlefield. Aiming at the task planning problem in the UAV swarm search, this paper treats each UAV as a subsystem based on the self-organization idea, and proposes a search algorithm based on the IAPF (Improved Artificial Potential Field ). First, in order to improve search efficiency and reduce computational complexity, a new type of target attraction field function was constructed. Subsequently, in order to solve the problem of repeated search by the UAV in a short time interval, a search repulsion field generated by the UAV search path was proposed. Finally, a collaborative search process based on the direction standard deviation of the artificial potential field was designed. The simulation results show that compared with the scanning search and the HAPF-ACO (Hybrid Artificial Potential Field and Ant Colony Optimization) algorithm, this method can significantly improve the target discovery rate while achieving similar task area coverage. At the same time, the disturbance experiment proves that the method in this paper is robust in the case of some UAV failures.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rui Shao, Rentuo Tao, Youda Liu, Yuhao Yang, Dasheng Li, and Jianjun Chen "Research on collaborative search task planning of UAV swarm in dynamic environment", Proc. SPIE 12166, Seventh Asia Pacific Conference on Optics Manufacture and 2021 International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2021), 121665P (15 February 2022); https://doi.org/10.1117/12.2617598
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KEYWORDS
Unmanned aerial vehicles

Target detection

Detection and tracking algorithms

Computer simulations

Lab on a chip

Algorithm development

Optimization (mathematics)

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