PROBLEM OF MULTI-CRITERIA OPTIMIZATION OF SELECTION OF AN UNPREPARED HELIDROM

Abstract

The problem of multi-criteria optimization of the choice of an unprepared helidrom to plant the unmanned aerial vehicle (UAV) helicopter type on it is considered in this article. The problem of multi - criteria optimization of the choice of an unprepared helidrom is formalized based on satisfying requirements of the International Civil Aviation Organization (ICAO) to an unprepared helidrom by mi nimizing the original loss function taking into account the following data: the probability of availability of an unprepared helidrom, the probability of failure of the UAV’s helicopter type onboard system, the error of a digital elevation map (DEM) positional information, the error of the UAV’s helicopter type coordinates information and the technical characteristics of the UAV helicopter type. It is proposed to determine the suitability of an unequipped helidrom based on the maximum height of terrain elements of it’s surface using statistical processing of a lidar earth scanning data. The mathematical formulations of the problem of decision-making on UAV helicopter type landing are proposed based on requirements for an unprepared helidrom in terms of maximum height of terrain elements and soil hardness. The comparison of the computational time of algorithms of the choice of an unprepared helidrom is completed using Raspberry Pi 3 Model B. The result of a simulation modelling of the proposed opt imal algorithm of the choice of an unprepared helidrom for the estimation of its ef ficiency under conditions of variability of parameters of the probabilistic loss function using OpenStreetMap and SRTM is presented. The result of solving the problem of decision-making on UAV helicopter type landing based on a lidar earth scanning data is presented