This research is devoted to the development of a method for helicopter turboshaft engine energy characteristics control by regulating the free turbine rotor speed and fuel consumption using neural network technologies. A mathematical model was created that links the main rotor and free turbine rotor speed parameters, based on which a relation with the engine output power was established. In this research, a differential equation was obtained that links fuel consumption, output power, and rotor speed, which makes it possible to monitor engine dynamics in various operating modes. A fuel consumption controller was developed based on a neuro-fuzzy network that processes input data, including the desired and current rotor speed, which allows real-time adjustments to improve the operational efficiency. In the research, based on the flight data analysis obtained during the Mi-8MTV helicopter with a TV3-117 turboshaft engine flight test, improved signal processing quality was obtained due to time sampling and adaptive quantisation methods (this is confirmed by assessing the homogeneity and representativeness of the training and test datasets). A comparative analysis of the developed and traditional controllers showed that the neuro-fuzzy network use reduces the transient fuel consumption process time by 8.92% while increasing the accuracy and F1 score by 18.28% and 21.32%, respectively.

Este artículo examina y analiza a fondo los elementos clave del estado actual de los procesos de seguridad nacional en Ucrania. Además, se consideran formas de posible mejora del estado de garantizar la seguridad nacional de Ucrania en las condiciones modernas de la operación activa del régimen de ley marcial. Se advierte que diferentes países del mundo, a su criterio, tienden a interpretar la esencia y los elementos importantes de la seguridad nacional que existen en el mundo actual. Además, los países tienen diferentes oportunidades para tomar medidas reales en relación con la reforma de la situación con su seguridad nacional. El artículo se centra en el hecho de que el desarrollo verdaderamente dinámico y de alta calidad de la esfera de la provisión adecuada de seguridad nacional ocurre en el Estado solo cuando (su soberanía estatal, integridad territorial u otros intereses importantes) está bajo amenaza. El ejemplo de Israel, Estados Unidos y algunos otros países demuestra que Ucrania no es el único donde solo después de la aparición de tal o cual peligro, los mecanismos y las herramientas para superarlo comienzan a funcionar en la práctica. Además, se enfatizó la importancia de lograr la membresía plena de Ucrania en la alianza militar y política de la otan. Después de todo, esta alianza militar y política, que une a unas tres docenas de Estados soberanos, la mayoría de los cuales son verdaderas democracias liberales con un Estado de derecho real y un sistema estatal transparente y eficaz, es reconocida como el mejor ejemplo de tal alianza de defensa en la historia de la humanidad y es una buena asociación de Estados cercanos a Ucrania en espíritu. Se indica que, tras repeler la invasión rusa, Ucrania debería centrar todos sus esfuerzos en unirse a la OTAN.

This article proposes a mathematical model for protecting helicopter turboshaft engines from surges, starting with fuel metering supply and maintaining stable compressor operation. The model includes several stages: first, fuel is supplied according to a specified program; second, an unstable compressor operation signal is determined based on the gas temperature in front of the compressor turbine and the gas generator rotor speed derivatives ratio; at the third stage, when the ratios’ threshold value is exceeded, fuel supply is stopped, and the ignition system is turned on. Then, the fuel supply is restored with reduced consumption, and the rotor speed is corrected, followed by a return to regular operation. The neural network model implementing this method consists of several layers, including derivatives calculation, comparison with the threshold, and correction of fuel consumption and rotor speed. The input data for the neural network are the gas temperature in front of the compressor turbine and the rotor speed. A compressor instability signal is generated if the temperature and rotor speed derivatives ratio exceed the threshold value, which leads to fuel consumption adjustment and rotor speed regulation by 28…32%. The backpropagation algorithm with hyperparameter optimization via Bayesian optimization was used to train the network. The computational experiments result with the TV3-117 turboshaft engine on a semi-naturalistic simulation stand showed that the proposed model effectively prevents compressor surge by stabilizing pressure, vibration, and gas temperature and reduces rotor speed by 29.7% under start-up conditions. Neural network quality metrics such as accuracy (0.995), precision (0.989), recall (1.0), and F1-score (0.995) indicate high efficiency of the proposed method.

Given the continuous improvement of information technologies and development of artificial intelligence, and the need to introduce advanced foreign standards of training of high-quality personnel in the national educational system, state-private partnership in the field of higher education is of great importance. In the course of ensuring the effectiveness of the latter, a special role belongs to legal liability, which plays an extremely important role in regulating social relations, ensuring their stability and security. The complex of these aspects determines the relevance of the topic. The purpose of the study is to identify promising areas for improving the legal liability of entities providing state-private partnerships in higher education. Such methods as analysis, synthesis, deduction, induction, and the logical and legal method are used in the article. The study analyzes the essence of social responsibility, the positive and negative aspects of legal liability, and the promising areas for improving legal liability in the area of state-private partnership in higher education, including academic responsibility within this area. With a view to ensuring a higher level of legality in the course of state-private partnership, the author recommends that administrative and criminal liability should be provided for violation of the principles and other requirements and principles of current legislation on state-private partnership.

Every society needs the recognition and protection of the rights of its citizens, and this becomes more proper for every administration in respecting this protection for the common good of its society. In this article, international experience of protecting private rights in the sphere of public administration has been analyzed. On the basis of the researched information the authors have provided concrete ways of implementing the specified international experience into domestic state and his legal system. The essence and characteristic features of legal ways to protect the legitimate interests of private individuals within public relations have been clarified among other things. The genesis of the development of the ways to protect private rights in the sphere of public administration has been analyzed. Particular attention has been paid to the insufficient capacity of Ukraine to ensure the inviolability of private rights, freedoms and interests of the entities of public legal relations, compared to the developed countries of Western Europe and North America. At the same time, the emphasis has been made on the gradual increase in the level of democracy and the rule of law in Ukraine over the last 20 years. It has been claimed that a special “acceleration” of the indicated reforms took place immediately after two socially important events, namely the Orange Revolution of 2004 and the Revolution of Dignity of 2013-2014. However, the so-called “energy fervor” gained at the beginning of the reform is slowing down in Ukraine.

This study focuses on helicopter turboshaft engine innovative fault-tolerant fuzzy automatic control system development to enhance safety and efficiency in various flight modes. Unlike traditional systems, the proposed automatic control system incorporates a fuzzy regulator with an adaptive control mechanism, allowing for dynamic fuel flow and blade pitch angle adjustment based on changing conditions. The scientific novelty lies in the helicopter turboshaft engines distinguishing separate models and the fuel metering unit, significantly improving control accuracy and adaptability to current flight conditions. During experimental research on the TV3-117 engine installed on the Mi-8MTV helicopter, a parametric modeling system was developed to simulate engine operation in real time and interact with higher-level systems. Innovation is evident in the creation of the failure model that accounts for dynamic changes and probabilistic characteristics, enabling the prediction of failures and minimizing their impact on the system. The results demonstrate high effectiveness for the proposed model, achieving an accuracy of 99.455%, while minimizing the loss function, confirming its reliability for practical application in dynamic flight conditions.