OVERVIEW OF SWITCHING SUBSYSTEM MODELS FOR DIGITAL PHOTONIC COMPUTING DEVICES

The problem of multi-criteria optimization of the choice of an unprepared helidrom to plant theunmanned 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 requirementsof the International Civil Aviation Organization (ICAO) to an unprepared helidrom by mi nimizingthe original loss function taking into account the following data: the probability of availabilityof an unprepared helidrom, the probability of failure of the UAV’s helicopter type onboard system, theerror of a digital elevation map (DEM) positional information, the error of the UAV’s helicopter typecoordinates information and the technical characteristics of the UAV helicopter type. It is proposed todetermine the suitability of an unequipped helidrom based on the maximum height of terrain elementsof it’s surface using statistical processing of a lidar earth scanning data. The mathematical formulationsof the problem of decision-making on UAV helicopter type landing are proposed based on requirementsfor 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 helidromis completed using Raspberry Pi 3 Model B. The result of a simulation modelling of the proposed opt imalalgorithm of the choice of an unprepared helidrom for the estimation of its ef ficiency under conditionsof variability of parameters of the probabilistic loss function using OpenStreetMap and SRTM ispresented. The result of solving the problem of decision-making on UAV helicopter type landing basedon a lidar earth scanning data is presented