Purpose of research. The design of sliding bearings, especially for heavily loaded rotary machines, is a laborious task. The implementation of control systems for the movement parameters of the rotor further increases the complexity of a design procedure. The study shows a developed approach to the optimal design of active rotor bearings using heuristic optimization algorithms. The approach allows to obtain a set of optimal Pareto solutions and determine the only configuration of the reference node that best meets the given criteria.

Methods. The problem of optimal parametric synthesis of an active fluid friction bearing was solved using a numerical model coupled with the model of rotor movement in the support. For the given design problem, objective functions were formulated, design variables were determined, and the necessary restrictions were imposed. Using multicriteria versions of the genetic algorithm and the particle swarm algorithm, procedures for the optimal synthesis of reference nodes were carried out. The solutions obtained by different methods are compared and analyzed based on the results of model tests.

Results. As part of the study, algorithmic and software tools were developed for solving problems of optimal parametric synthesis of active hybrid fluid friction bearings. The applied objective functions are conflicting, so the primary result of the solution is a 3D Pareto front. The tested heuristic algorithms showed qualitatively similar solutions, but the genetic algorithm covers a larger range of them. On the whole, the final decisions meet the criteria, but the methods for making final decisions require additional elaboration.

Conclusion. The study presents an approach to the automated design of sliding bearings, which allows you to simultaneously take into account the tribological, dynamic aspects of the behavior of the rotary bearing system, as well as ensure readiness for the use of control systems in bearing nodes. The tested heuristic algorithms give comparable solutions to the optimization problem in comparable time as well. Further improvement of the method of parametric synthesis of such supports should be carried out in the direction of decision-making algorithms, refinement of objective functions, as well as acceleration of the applied calculation models.

Рurpose of this work was to optimize the process of obtaining powder materials for the production of carbide cutting tools by electrodispersing metal waste of TN20 alloy in water.

Methods. To carry out the planned studies, waste of sintered tungsten-free hard alloy of the TN20 brand was selected. Distilled water was used as the working fluid. On an experimental patented installation for the production of powders from conductive materials, waste of a tungsten-free hard alloy TN20 was dispersed in distilled water with a loading weight of 500 g. The following electrical parameters of the installation were used: capacitance of capacitors 60.0...62.5 UF; voltage at the electrodes from 120...140 V; pulse repetition frequency 120...140 Hz. The study of the shape and morphology of the surface of particles obtained by EED of waste of a tungsten-free hard alloy TN20 was carried out on an electron-ion scanning (scanning) microscope with field emission of electrons "QUANTA 600 FEG" (the Netherlands). The average particle size of titanium powder was studied using the Analysette 22 NanoTec laser particle size analyzer (Germany). Optimization of the processes of dispersion of waste of tungsten-free hard alloy TN20 was carried out by setting up a complete factorial experiment on the average particle size of the resulting erosive particles according to block diagrams.

Results. Analysis of the particle shape parameters of the carbide powder from images from a scanning microscope suggests that the electroerosive particles are mainly spherical in shape and agglomerates. It has been experimentally established that the average particle size of a carbide powder of 24.4 microns is obtained with a discharge capacitor capacity of 63 UF, an electrode voltage of 200 V, and a pulse repetition frequency of 200 Hz.

Conclusion. Carrying out the planned measures will solve the problem of recycling waste from TN20 alloy and their reuse in the production of cutting tools.

Purpose of research. For settlements located in the permafrost zone on the territory of the Russian Federation, obtain the values of average annual water temperatures in heating networks of centralized heating systems separately for the supply and return mains using design water temperatures in the range from 95 to 150 ° C, taking into account modern climatic data and the indicators of the heating systems used devices.

Methods. To achieve the set goals, methods of central high-quality regulation of the load of the thermal energy consumer were used, based on the heat balance equation. To find the temperatures at the break point of the temperature graph, numerical methods for solving equations were used. To obtain an equation for the dependence of the average annual water temperature in the supply main of the heating network, methods of the theory of approximation of functions by algebraic polynomials were used. To cluster settlements according to the criterion of being in the permafrost zone and the possibility of using centralized heat supply, methods of analysis and synthesis were used.

Results. Average annual water temperatures for the supply and return lines of heating networks were obtained using central quality control schedules with design temperatures from 95 to 150°C, taking into account the values of average monthly outdoor air temperatures for settlements in the permafrost zone of the Russian Federation.

Conclusion. The values of annual water temperatures recommended by modern standards for the supply main of heating networks may differ significantly from the calculated values obtained taking into account the design water temperatures, climatic characteristics of the design area, and features of the organization of a closed heat supply system in order to ensure standard hot water supply temperatures. A quadratic equation has been obtained that makes it possible to calculate with high accuracy the design annual temperature of the coolant for the supply pipeline depending on the temperature schedule implemented in the heat supply system for settlements located in the permafrost zone.

Purpose of research of this work is to develop a mathematical model to study the effect of amplitude-frequency offset on the absorption coefficient when using velocity lags with Doppler effect, different parameters such as aperture size, absorption coefficient, height and angle of directivity.

Methods. In this work, methods were used to model the amplitude-frequency signal shift with the Doppler effect: 1)Signal spectrum analysis method: used to study the frequency characteristics of signals, including the determination of frequency, amplitude and other parameters.2)Numerical simulation method: include the use of numerical algorithms and computer programs such as Matlab/Simulink, to simulate the physical phenomena associated with the Doppler effect and absorption. 3)Signal processing method in time and frequency domains: include various techniques for filtering, decomposition of signals and analyzing their characteristics in time and frequency, help to identify the characteristics of signals. 4)Method of mathematical modeling: include the development of mathematical models describing the motion of objects and their interaction with the environment.

Result. In this research, a mathematical model was developed to investigate the effect of various parameters on the amplitude-frequency displacement in an active acoustic system. The modeling showed how aperture size, tilt angle, absorption coefficient and bottom distance have a significant effect, and also revealed a linear relationship between the error coefficients affecting the displacement.

Conclusion. Amplitude-frequency offset studies showed that this phenomenon has a significant impact on the accuracy of Doppler lag measurements. Phased array instruments showed advantages within the long term accuracy framework. Comparison of the amplitude-frequency offset with experimental data revealed good agreement, which confirms the adequacy of the developed model. However, additional modeling is required to verify the influence of other error sources, such as territorial, side lobe coupling, beam alignment, etc., and to study in more detail the influence of roll on measurement accuracy.

Purpose: study of a method for measuring temperature with a two-wire connection of a resistance thermometer (RT) using its mathematical model. Conduct model testing and research to evaluate the potential capabilities of the measurement information processing method, which is based on determining the resistance of the vehicle based on the results of integrating the transient process in the measuring circuit after turning off its power source, determine the parameters of the measuring circuit and the algorithm underlying the method . For a given range of measured temperatures, determine the type and parameters of the adaptive measurement algorithm model.

Methods: methods of mathematical modeling, numerical methods. When developing a mathematical model of the method, the theory of electrical circuits was used, in particular, the analysis of transient processes. When analyzing the proposed solutions, the impact of electromagnetic interference and quantization effects was taken into account, and the effectiveness was assessed by the relative error () of measuring the resistance of the vehicle and comparison with analogues. The simulation was carried out in the MATLAB environment.

Results: a mathematical model of an integrating method for measuring temperature using a TS was developed, the optimal value of the shunt capacitance was selected for the range of measured temperatures 0 ... 660 °C, providing within the range the calculated value of the root-mean-square error (RMS) of 0.02% -0.04%, the optimal value was determined first integration interval (4 ms). It is shown that for the adaptive measurement algorithm it is possible to select a linear model. The effectiveness of the method was assessed in comparison with the method of determining the resistance of the vehicle using two readings of the transient process.

Conclusion: The results of mathematical modeling of a method for measuring temperature based on estimating the resistance value of a vehicle based on the results of numerical integration of the transient discharge process of a capacitor connected in parallel with a resistor are presented, making it possible to optimize the algorithms underlying its operation, as well as to judge the effectiveness of the proposed solution. The two-wire method, based on determining the resistance of the vehicle based on the results of integrating the transient process when the power of the measuring circuit is turned off, makes it possible to increase the accuracy of temperature measurement comparable to the accuracy of three and four-wire circuits, eliminating the disadvantages associated with their complexity and high cost.

Purpose of research. Modeling of the associative field in order to reflect the nature of the predication of speech action, represented by the cue – target pair, as well as to identify the dominant mental supports.

Methods. The construction of the associative field is based on the data of free association tests presented in the Russian associative thesaurus and the University of South Florida Free Association Norms. Modeling of the associative field involves the distribution of associates by the nature of predication to identify conceptual reactions, associates-representations, emotional and evaluative, and operational reactions. The established correlation of the types of associates makes it possible to identify the dominance of cognitive, emotive or linguistic guidelines in the production of speech action.

Results. Due to psycholinguistic modeling of the associative fields uchitel and teacher ethnocultural difference in the nature of the predication of speech actions was established. Reactions-representations dominate among American respondents, operational associates prevail among Russian ones. Russian speakers rely more on language norms, while Americans rely on cognitive guidelines. Emotive guidelines take an intermediate place between cognitive and linguistic ones. Associative field uchitel has 12% more emotional and evaluative reactions in comparison with the field teacher. The close distance of the psychological meaning of the words teacher and student is stipulated by the overlapping associations, such as school, professor, class and book. The associative fields uchitel and student do not have overlapping associates, which emphasizes the lack of common psychological meaning.

Conclusion. The conducted research made it possible to demonstrate the effectiveness and prospects of the psycholinguistic model of mental representation. It has been determined that the proposed model reveals the nature of predication in the cue – target relationship, as well as the prevailing guidelines of the internal lexicon and signs on the basis of which psychological predication is carried out.

Purpose of research. The purpose of the work is to develop recommendations for the software implementation of cognitive agent-based systems that ensure interoperability in the interaction of software cognitive agents with different properties. A software implementation that determines semantic proximity based on machine learning can automatically and quickly highlight important key concepts and find associations, simplifying and speeding up the process of working with text data during a dialogue between agents, one of which is a human. The proposed approach is based on the assumption that computer systems can perform some “anthropomorphic” functions, similar to human ability to think.

Methods. Domain knowledge is determined by training an artificial neural network. To indicate the semantics of remarks and other information, it is proposed to use tagging and determining the semantic proximity of key phrases from speeches presented in written form.

Results. The system was implemented in the Python programming language. The Word2Vec model with Skip-gram architecture was used as a neural network model for text vectorization. For training, two text sets with information about computer science and zoology were used. Based on the results of comparing texts on two topics, one can judge the performance of the system to determine the semantic proximity of textual information.

Conclusion. The subsystem for determining the semantic proximity of text information based on machine learning technologies, which forms the basis for the software implementation of cognitive interoperable agent-based systems, will improve the efficiency of existing or developed applications that involve a large amount of text information.

Purpose or research. The aim of the study is to develop and describe a method of forming the requirements to information support characteristics of control systems (CS) of unmanned aircraft transport systems (UATS) to ensure the safety of flights.

Methods. The proposed method of forming the requirements to information support characteristics of UATS CS is based on the methods of system analysis, cognitive approach, and methods of multi-criteria decision analysis.

Results. The paper considers and describes main tasks solved at the stage of concept definition, including analysis of the requirements to performance indicators, functional description, physical implementation description, and design solutions validation. Within the architectural design and analysis, a set of subsystems (the presence of which in UATS CS is required for the implementation of functions and compliance with functional requirements), and the corresponding set of modules of each subsystem have been defined. The advantages and disadvantages of various functional architectures of UATS CS subsystems have been analyzed. Based on the results of the concept formation, and architectural design and analysis, the basic and auxiliary characteristics of UATS CS information support have been generalized and presented. It is shown that in order to solve the problem of assessment of the influence of information support characteristics on the indicators of the functioning of UATS CS intellectual automation technologies it is necessary to use cognitive approach and methods of multi-criteria decision analysis. The application of the proposed method of forming of UATS CS information support characteristics is shown on the example of a real transportation problem.

Conclusion. The proposed method allows forming the requirements to UATS CS information support and its characteristics, based on the purpose of the system and its functional architecture (including the composition and structure of information flows, output and transmission format, frequency of information delivery, etc.) to ensure the required adequacy, completeness and timeliness of information required for decision-making.

Purpose of reseach. The search for the possibilities and limitations of using artificial intelligence (AI) to solve poorly formalized (creative) tasks in various fields. Evaluation of the effectiveness of AI application in comparison with traditional methods. Analysis of the use of artificial intelligence based on genetic algorithms to optimize processes and solve complex poorly formalized tasks using the example of school scheduling.

Methods. Using a genetic algorithm (GA) to schedule by combining and varying data is similar to evolutionary selection in nature.

Results. As a result of the conducted software modeling using GA, a variant of the schedule for a typical urban secondary school was obtained, taking into account all the norms of the "school" SanPiN and the wishes of teachers, characterized by ease of use and flexibility when adding new restrictions, as well as high speed on ordinary office computers.

Conclusion. The relevance of using genetic algorithms for scheduling lies in the rapid automatic search for the optimal or acceptable solution in a large space of possible options, taking into account the established limitations and priorities, as well as flexibility and adaptability for various types of tasks.

Purpose of research. Investigation of the relationship between the input and output characteristics of a fuzzy logic system based on the application of the area ratio method. The description of the specified method and the results obtained during modeling in a tabular processor is carried out using the means of illustrative presentation of information – visual programming.

Methods. To study the area ratio method, we considered a fuzzy logic model containing two input variables with three triangular membership functions and one output variable with five triangular membership functions. A database of fuzzy rules has been formed. The degrees of activation of the output terms were determined using the minimax rule of output L. Zadeh. The defuzzification of the values was carried out using a model based on the area ratio method.

Results. There are advantages of the area ratio method over traditional models, which consist in the ability to compensate for the main disadvantage - narrowing the defazzification interval. Using the proposed method, the possibility of using different numbers of variables on the input and output membership functions is studied. The results of experimental studies have shown that combining the parameters allows us to create a visual representation of the characteristics between the input and output variables.

Conclusion. This article describes the area ratio method, which allows us to visualize the relationship between input and output variables. There are the main results of numerical modeling reflecting the specifics of the method. The study was conducted through visual programming, which provides a number of advantages, such as improving the quality of the software product, ensuring a clear structuring of the task and accessibility to human perception.