Global Energy Consumption Optimization for UAV Swarm Topology Shaping

Yanxiang Yang, Xiangyin Zhang, Jiayi Zhou, Bo Li and Kaiyu Qin
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Yanxiang Yang: School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu 611731, China
Xiangyin Zhang: School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu 611731, China
Jiayi Zhou: School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu 611731, China
Bo Li: School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu 611731, China
Kaiyu Qin: School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu 611731, China

Energies, 2022, vol. 15, issue 7, 1-21

Abstract: According to different mission scenarios, the UAV swarm needs to form specific topology shapes to achieve more robust system capability. The topology shaping, which will guide the UAVs autonomously to form the desired topology shape, is considered one of the most basic procedures in the UAV swarm field operations. The traditional optimization model of UAV swarm topology shaping proposed in most studies roughly represents the energy consumption by the squared Euclidean distances from initial positions to target positions of nodes. However, in practice, UAVs flying in different directions (vertical or horizontal) usually exhibits different energy consumption even though under the same moving distance. This paper proposes a more precise energy consumption model for UAV swarm topology shaping while taking the energy consumption for a UAV flying vertically upward, vertically downward, and horizontally into account. Simulation results show that the global energy consumption of the topology shaping modeled by the proposed energy consumption model is reduced by more than 38 % on average compared with that using the traditional energy consumption model. Furthermore, to further reduce the global energy consumption, a translation vector is introduced in the optimization model to obtain the optimal topology shaping position of the UAV swarm system. Newton’s method is employed to derive the translation vector which exhibits good convergence. Simulation results show that the global energy consumption of optimal topology shaping position is reduced by 9.8 % on average compared with that without translation.

Keywords: UAV swarm; topology shaping; global energy consumption; translation vector (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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