METHODOLOGY FOR ACCOUNTING THE INFLUENCE OF METEOROLOGICAL FACTORS ON THE EFFICIENCY OF APPLICATION OF UNMANNED AERIAL VEHICLES ON THE BASIS OF SYSTEM ANALYSIS

Objectives The aim of the study is to increase the effectiveness of unmanned aerial vehicles (UAVs) in the context of destabilising meteorological factors on the basis of an identification of links and patterns of unmanned aerial vehicles operating in difficult weather conditions. Methods In this work, in order to account for the effect of meteorological factors on the effectiveness of unmanned aerial vehicles, the methods of system analysis, mathematical modelling of atmospheric phenomena and processes, as well as probability theory and statistical assessment, were applied. Result An analysis of open literature sources devoted to the issues of operation and practical application of unmanned aerial vehicles (UAVs) under the influence of environmental factors was carried out. A classification of destabilising influences (DI) affecting the performance of a UAV flight mission is developed and presented. The dynamic probabilistic indicator, which, in characterising the dynamics of UAV functions as a complex technical system is referred to as “time efficiency of the UAV flight mission”, is substantiated. A methodology for estimating the dynamic efficiency indicator of the UAV’s functionality during the performance of a flight mission (FM) underDI conditions is developed on the basisof a probabilistic model of the conflicting interaction between UAV and DI. Strategies for selecting the trajectories of flights around local zones in which UAVs can be influenced by DI are given. To estimate the DI intensity and determine the size of the local disturbance zone, a mathematical model is proposed, whose application makes it possible to improve the UAV functioning under complex meteorological conditions (CMC) by taking into account the information on the space-time variability of dangerous for UAV weather-related phenomena (DWP). In the process of constructing the UAV functioning model, the use of conflict theory methods permitted adequate models for the analysis and evaluation of the dynamic efficiency indicator of the UAV functioning during the performance of FM in DI conditions to be developed, as well as the patterns of meteorological factors influencing the effectiveness of the UAV application to be revealed. Conclusion The methodology proposed in the article makes it possible to increase the effectiveness of unmanned aerial vehicles (UAVs) under complex meteorological conditions by a time index of 20-30% as compared with traditional approaches.