Model of Atmospheric Effects Onto a Group of Unmanned Aerial Vehicles

Abstract

Known approaches to the analysis of the reliability of a swarm of unmanned aerial vehicles (UAVs) are implemented on the basis of graph models. As a rule, a UAV swarm is modeled by a graph that displays information about the equipment installed on the aircraft, the topology of the swarm, and the connections between the equipment. Destructive effects on the UAV swarm are modeled by removing vertices from the graph. The feasibility of the tasks of the UAV swarm is determined on the basis of estimates of the connectedness of the vertices, the modified graph, corresponding to the necessary equipment. The advantage of such approaches is the possibility of obtaining the reliability characteristics of the UAV swarm equipment of a given configuration when performing the assigned tasks. But, at the same time, the computational complexity of such approaches significantly depends on the topology of the graph, including the number of vertices and the connections between them. The article considers the issue of building a model of the effects of atmospheric influences (environmental factors) on UAVs based on fuzzy sets. Atmospheric influences of the external environment include wind loads, atmospheric precipitation and temperature conditions of the external environment, which are presented as fuzzy numbers with triangular membership functions. The models take into account possible atmospheric impacts and make it possible to determine the probability of damage to a group of UAVs. The computational complexity of the proposed approach significantly depends on the number of qualitative estimates of atmospheric impacts on a group of UAVs. Based on the developed models, the values of the probability of damage to a group of UAVs as a result of various atmospheric influences are calculated.