APF-APSO: UAV swarm cooperation algorithm for multi-target search in complex reconnaissance environments

Zhi Li; Xinting Zhang; Lei Lei; Lijuan Zhang; Xiaoqin Song

doi:10.1117/12.2674352

28 June 2023 APF-APSO: UAV swarm cooperation algorithm for multi-target search in complex reconnaissance environments

Zhi Li, Xinting Zhang, Lei Lei, Lijuan Zhang, Xiaoqin Song

Proceedings Volume 12720, 2022 Workshop on Electronics Communication Engineering; 127200I (2023) https://doi.org/10.1117/12.2674352
Event: 2022 Workshop on Electronics Communication Engineering (WECE 2022), 2022, Xi'an, China

Abstract

Multi-target search is a key part of UAV swarm cooperative reconnaissance. UAVs need to avoid threats in complex reconnaissance environments. In this paper, an optimization algorithm combining the artificial potential field with adaptive particle swarm algorithm (APF-APSO) is proposed for UAV swarm cooperative multi-target search mission. Firstly, we combine the PSO algorithm with the APF algorithm, adding a repulsive force field generated by the UAV's search path and using the force field function as a fitness function, which improves the obstacle avoidance and search efficiency of the UAV swarm. Secondly, a method for self-adaptive adjustment of personal cognition and social cognition factors is proposed, and an adaptive adjustment strategy of inertia weight is introduced to avoid the search falling into local optimum. The simulation results show that the proposed algorithm has higher search efficiency compared with other two PSO baseline algorithms in the same situation.

Citation Download Citation

Zhi Li, Xinting Zhang, Lei Lei, Lijuan Zhang, and Xiaoqin Song "APF-APSO: UAV swarm cooperation algorithm for multi-target search in complex reconnaissance environments", Proc. SPIE 12720, 2022 Workshop on Electronics Communication Engineering, 127200I (28 June 2023); https://doi.org/10.1117/12.2674352

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