Cheng Congcong, Bai Guanghan, Zhang Yun-An, Tao Junyong
Laboratory of Science and Technology on Integrated Logistics Support, National University of Defense Technology, Changsha 410073, People's Republic of China.
Chaos. 2019 May;29(5):053132. doi: 10.1063/1.5086222.
The resilience of unmanned aerial vehicle (UAV) swarm is its joint capability to resist possible threat, adapt to disruptive events, and restore its intended performance under a specific time period. The quantitative assessment of the UAV swarm resilience requires a thorough understanding of its missions. In this paper, a mission-oriented framework is proposed to implement the resilience evaluation for the UAV swarm. Guided by the framework, the resilience evaluation for the UAV swarm performing joint reconnaissance mission is studied. A UAV swarm model is developed for joint reconnaissance mission based on complex networks and agent-based models. The following aspects of the UAV swarm are considered in the proposed model, namely, the mission orientation, UAV attributes, swarm topology, UAV cooperative strategy, UAV information exchange and fusion strategy, potential threats, recovery strategies, etc. Then, a novel performance metric is proposed to measure the mission capability of the UAV swarm performing joint reconnaissance mission. Results from the simulations show that, compared with existing studies, the proposed approach can provide more realistic and objective resilience evaluation for the mission-oriented UAV swarm. The above works can be used to support the decision making and the optimal design of the UAV swarm, given different missions.
无人机群的恢复力是其抵抗潜在威胁、适应干扰事件并在特定时间段内恢复其预期性能的综合能力。对无人机群恢复力的定量评估需要深入了解其任务。本文提出了一个面向任务的框架来对无人机群进行恢复力评估。在该框架的指导下，研究了执行联合侦察任务的无人机群的恢复力评估。基于复杂网络和基于智能体的模型，开发了用于联合侦察任务的无人机群模型。所提出的模型考虑了无人机群的以下几个方面，即任务导向、无人机属性、群拓扑、无人机协作策略、无人机信息交换与融合策略、潜在威胁、恢复策略等。然后，提出了一种新颖的性能指标来衡量执行联合侦察任务的无人机群的任务能力。仿真结果表明，与现有研究相比，所提出的方法能够为面向任务的无人机群提供更现实、客观的恢复力评估。上述工作可用于支持不同任务下无人机群的决策制定和优化设计。
