DOAJ Open Access 2024

Decentralized and autonomous behavior decision-making for UAV cluster

HU Weijun ZHANG Weijie YIN Wei XIONG Jingyi

Abstrak

It is difficult for conventional methods like the diagram theory in a complex environment to carry out modeling and calculation so as to make large-scale cluster behavior decisions. Hence, this paper studies small fixed wings and establishes the decentralized behavior decision-making model for a UAV cluster that has communication limitations and scale ceiling effects. The idea of swarm intelligence is combined with the decoupling multi-agent deep deterministic strategy gradient (DE-MADDPG) for the constructed model to do adaptive learning. Finally, the optimal behavior decision of the UAV cluster is made. Simulations are carried out to verify the model. The consistent movement of the UAV cluster and the maneuvering obstacle avoidance behavior in complex environments are realized. Compared with the MADDPG, the DE-MADDPG exhibits superior precision and real-time capability.

Topik & Kata Kunci

Motor vehicles. Aeronautics. Astronautics

Penulis (4)

HU Weijun

ZHANG Weijie

YIN Wei

XIONG Jingyi

Format Sitasi

APA MLA BibTeX

Weijun, H., Weijie, Z., Wei, Y., Jingyi, X. (2024). Decentralized and autonomous behavior decision-making for UAV cluster. https://doi.org/10.1051/jnwpu/20244261030

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Informasi Jurnal

Tahun Terbit: 2024
Sumber Database: DOAJ
DOI: 10.1051/jnwpu/20244261030
Akses: Open Access ✓