RUDN Journal of Engineering Research

The article discusses the methods of a priori statistical analysis used for predicting perturbed motion of aircraft in turbulent environments. Theoretical approaches such as the comparative method and mathematical modeling method are used to analyze the a priori analysis methods. The paper also utilizes statistical methods to evaluate the effectiveness of stochastic models to account for random perturbations caused by turbulence. Special attention is paid to the use of Bayesian analysis, maximum likelihood method and Monte Carlo method applied for probabilistic prediction of the aircraft trajectory. The presented models are illustrated with formulas that describe the dynamics of vehicle motion in turbulent conditions, including equations of motion based on Newton’s and Euler’s laws. The parameters that determine the dynamics of the perturbed motion of the aircraft in a turbulent environment, such as linear and angular velocities, turbulence intensity, aerodynamic forces, moments of inertia and meteorological conditions, are studied to evaluate the correctness of the calculations. This allows the effects of turbulence on the control and flight trajectory of the aircraft to be taken into account. The results of the study demonstrate the high accuracy of the proposed methods in predicting aircraft motion deviations and emphasize the importance of further development of computational approaches to integrate these methods into real-time control systems, especially for application in conditions of uncertainty and complex external influences. Further research could focus on improving the adaptability of models for different types of aircrafts, taking into account the optimization of computational methods to reduce computational complexity. This will make it possible to improve the efficiency of forecasts in a shorter time and reduce resource costs.

The relevance of the research is justified by the development of flange connections of hermetic structures of aeronautical equipment under conditions of weight and material intensity limitation with simultaneous increase of their technical and energetic characteristics. The strength of flange connections is ensured by the reliability of the isolation of the working medium, the tightness of the design elements and is achieved by the use of sealing elements in the form of gaskets or sealing devices. The relevance of the research is stated, the aim of which is the mathematical formalisation of the process of formation of a compacted joint. A brief analysis of known solutions of contact problems by methods of elasticity theory is given, and limitations in obtaining solutions by analytical and numerical methods. A mathematical model of elastic contact between two or more bodies subjected to compression and a numerical solution algorithm based on the FEM method. The algorithm is implemented in the Abaqus CAE software environment. The results of the modelling of the contact interaction of the elements of the sealed joint in the spatial formulation are presented as an example of a full-scale design of a flange joint with a toroidal hollow metal gasket.is a combination of wavelet transformation and neural network learning.

A comprehensive understanding of the characteristics of the road network is imperative for implementing fundamental measures to enhance traffic efficiency and mitigate delays. The objective of the present study is twofold: firstly, to classify the urban street network in the city of Karbala; and secondly, to evaluate its effectiveness. Following the delineation of the area of study, traffic data is collected through the utilisation of video imaging technology and subsequently extracted from video files. Following this, the city streets are divided into multiple sections, and the speed of movement in each is calculated, as well as the speed of free flow. The primary objective of this study is to determine and compare the level of service (LOS) of a road based on Highway Capacity Recommendations (HCM 2000), including traffic speed, capacity to assess each segment of the network. The findings of the study revealed that roads of the first category constituted 25% of the total, while roads of the second category comprised 75% of the total. Furthermore, the level of maintenance of street sections is 25% when working with LOS C, 31.25% when working with LOS D, 12.5% when working with LOS E and 31.25% when working with LOS F, according to the assessment of transport operations based on average traffic speed.

The development of unmanned aerial vehicles is one of the promising directions for civil aviation with a wide range of applications. Neural networks can be trained for real-time decision making, adapting to changing battlefield conditions and ensuring optimal task execution. Among many UAV navigation and control tasks, the challenge of automatic landing of an unmanned aerial vehicle on a mobile landing platform (ships, vehicles, specialized platforms) remains relevant. Automated landing of an unmanned aerial vehicle on a mobile carrier is particularly significant.The article examines the system of automatic landing of an unmanned aerial vehicle (UAV) on a mobile platform using neural network technologies. The research method is based on the application of artificial neural networks for developing an adaptive control system capable of real-time decision-making during landing maneuvers.As a result of the research, a control algorithm was developed that ensures precise landing of UAVs on various types of moving platforms (ships, vehicles, specialized platforms), which significantly expands the operational range of unmanned vehicles and increases their efficiency in various operating conditions.

The use of PIRS (Polozov Information Rating System) technology in working with the Russian men’s national futsal team (head coach S.L. Skorovich) in the period from 2010 to 2018 allowed it to move from 5th place in the world ranking to first. The problem of managing a high-level sports team is to selectthe control indicators and their values in order to get the best result of the next match. Usually such parameters are: optimization of the composition, the direction of the game, the placement of their players, the tasks recommended to them. The aim of the study was to structure the activities for the transition from PIRS technology in working with top-level teams to the creation of the PIRSonline system. The description of the PIRSonline system for the development of its technical part required obtaining a number of schemes with their description, which regulated the development of the project. This is the composition of documentation, subsystems, functional diagram, component diagram, function-component matrix. The resulting sequence of actions for the development of PIRSonline includes image acquisition, a block for initializing game parameters, ball detection, determining the 3D coordinates of the ball, detecting players, tracking, classifying players and referees, determining the player’s pose. This made it possible to implement an integrated approach to online management of competitive activities of top-level teams. The use of modern computer vision and machine learning methods has made it possible to create interactive data visualization.