Nº 3 (2025)

Background. This study considers an optimal control problem in an extended formulation, aimed at ensuring the feasibility of the solution under real-world operating conditions. Materials and methods. To achieve high accuracy and stability of the controlled plant's motion, it is proposed to synthesize a universal stabilization system capable of reliably following a wide range of trajectories, even in the presence of external influences and model uncertainties. The concept of an extended model of the controlled plant is presented, including both the plant itself with the stabilization system and a reference model for generating the optimal trajectory. It is shown that using such a structure, classical optimal control methods can be applied to obtain the control function as a function of time, achieving a high degree of conformity between the plant's motion and the planned trajectory while maintaining stability and control accuracy. To synthesize the universal stabilization system, machine learning based on symbolic regression is used, which allows for the formalization of the process of constructing control functions and eliminates the subjective errors typical of manual design. Results and conclusions. The effectiveness of the proposed approach is confirmed by a computational example of controlling the spatial motion of a group of quadcopters – a typical example of complex engineering systems with high requirements for reliability, maneuverability, and safety.

Background. The article describes the problems of measuring the aerodynamic quality of the wing of a paraglider, measuring the aerodynamic quality of systems with a soft wing on a sling suspension. A comparison of the tested methods of measurement and their results is given. It is shown that the method of simultaneous measurement of air speed and the rate of change of barometric altitude does not allow to evaluate the aerodynamic qualities. Materials and methods. A method of separate measurement of the aerodynamic quality of a soft wing and the load suspended on it by installing angular position sensors to an additional link (links) between the carabiner of ground equipment and the free ends of the wing is proposed. Results and conclusions. It is substantiated that the installation of angular position sensors on the connecting links can be useful for unmanned and optionally controlled soft-wing systems, as it allows for the control of the wing during takeoff and sharp evolutions, which enables active flight stabilization. The accuracy and informativeness of the proposed method have been evaluated.

Background. Modern radio-electronic enterprises have to maintain consumer interest by continuously improving their products, developing new modifications and introducing engineering changes into the design and manufacturing technology. Engineering changes require significant efforts for their planning, coordination and implementation at the enterprise and are carried out in most cases manually. This study aims to develop a multi-agent decision support system for managing engineering changes in products using the wide capabilities of artificial intelligence technologies. Materials and methods. Based on the engineering change maintenance model previously developed by the authors, an original role model of agent interactions has been formed. Agents operating in an uncertain environment and lack of complete information use cognitive data structures and deduction and induction methods to draw conclusions. Results and conclusions. The concept of a system consisting of four agents and containing cognitive data structures and methods of logical inference with training and adaptation is proposed. Local goals of agents in the system are formulated, their role and general logic of actions to support decision-making on the implementation of engineering changes in electronic products are revealed. The logical architecture of the coordinator agent is developed, which requests the optimal time and cost of implementing engineering changes and makes a schedule for their implementation at the enterprise. Architectures of the forecaster agent, optimizer agent and feedback agent are also built. The model has limitations in the form of emergency situations at the enterprise, legally significant or critical changes for the safety of the enterprise, which requires switching to manual control.

Background. The article considers the way to solve the urgent problem of expertise and quality testing of specific products of original production facilities for the utilization of dismantled structural elements of nuclear power plants during their decommissioning. Materials and methods. The methodology for calculating the probabilities of errors in the process of checking the quality of finished products of mass production in the field of utilization and processing of structural materials of power units with nuclear reactors, in order to reuse these products, materials and products for a new purpose, is presented. A method of examining the quality of such products is proposed, and the result is estimated – reducing the likelihood of defective products being missed when inspecting several parameters that determine the physic technological value of a closed cycle of handling structural materials of nuclear power plants. The method opens up the possibility to optimally select and evaluate the effectiveness of various combinations of tools for non-destructive examination the finished products quality of in general, according to the criteria of rational use of natural resources and environmental acceptability, economic feasibility; Based on the results of the evaluation of the quality of finished products, determine the technological map of output examination for the processing of dismantled structural components of nuclear power plants at the stage of eliminating their negative nuclear legacy. Results and conclusions. The presentation and substantiation of the main scientific provisions and principles on the basis of which a system analysis of product quality is based in a closed-loop format for handling structural materials of nuclear power plants.

Background. The paper discusses methods and strategies for improving the manufacturability of special equipment products. Materials and methods. Key aspects of design and production are analyzed, including component selection, mechanical installation, automation of control and adjustment operations, as well as the use of advanced shaping methods. Special attention is paid to improving product characteristics to increase efficiency, reduce costs and improve the quality of the final product. Results and conclusions. The results of the study emphasize the importance of integrating modern technologies and approaches to achieve market competitiveness.

Background. Damage to aircraft components due to bird strikes significantly reduces the level of flight safety in civil aviation. The most dangerous is when a bird hits an aircraft engine, so the study of bird strikes on engine parts is a pressing issue. Materials and methods. A computational and experimental method for studying the stress-strain state of a fan blade during a simulated impact with a bird is proposed. The developed method allows one to study impact processes and phenomena in engine fan blades during a simulated impact with a bird using a device with a special striker and registration systems on a special installation. Results and conclusions. The developed method allowed us to record the time sequence of events (interferogram patterns, displacements and stresses) at any time after the start of the impact using a bird simulator (special striker) and, accordingly, to obtain the results of the stress-strain state of the blade and the parameters of the impact process. Analysis of the research results using the developed method allows us to obtain a change in stresses and displacements during the impact with the bird simulator and to determine the blade sections in which maximum stresses and displacements are observed. The developed calculation and experimental method and the obtained recommendations can be used to study the non-stationary stress-strain state of fan blades and other engine parts and aircraft elements during the imitation of an impact with a bird.

Background. The study considers hot-button issues of analysis and modeling of the critical infrastructure resilience cycle in order to engineering automated tools for management information support of the resilient functioning of these complex multicomponent systems under triggering events of various nature and scale. Materials and methods. The joint use of the process approach, the formal apparatus of ternary relations and the technology of conceptual modeling provide a methodological basis for an integrated solution to the problems of analyzing the critical infrastructures resilience cycle and synthesizing effective organizational and technical systems for situational management of their resilient functioning. Results and conclusions. A triadic hierarchical model of a typical U-shaped critical infrastructure resilience cycle, based on a conceptual definition of entities and ternary relations between them in the form of a set of triads and modeling the process of maintaining the system resilience at different stages of situational management, is proposed. The developed model provides the possibility of a pictorial systemic knowledge representation about the stages of critical infrastructure resilience management process by constructing chains of interrelated triads, the analysis of which allows to identify new capacities and patterns of the system functioning when critical situations occur, as well as to determine adequate measures and assets of ensuring resilience to improve the effectiveness of situational management. The results obtained can find application in the field of design automation of the ontological and simulation models of critical infrastructure resilience intended for subsequent use in the development of intelligent information technologies for managing critical entities and infrastructure systems.