Abstract

During the design and construction of new products, it is necessary to evaluate their effectiveness and technical thoroughness already at the preliminary design stage. For unmanned aerial vehicle systems (hereinafter referred to as UAVs), one of the areas of such assessment can be the ratio of the overall tactical and technical requirements to the estimated flight and technical properties of the prospective model to the characteristics of the best analogues. However, such estimates are associated with a high degree of uncertainty in the early stages of UAV design. There is a question of a priori evaluations with the use of multicriteria approaches arises. At the same time, the use of multicriteria methods of evaluation of complex technical systems, such as UAVs requires the use of large amounts of data with significant time consumption, so the search for comprehensive evaluation indicators, as proposed in this article, is considered to be relevant. This article deals with the complex evaluation of the technical efficiency of unmanned aerial vehicles equipped with turbojet propulsion system (hereinafter — turbojet). For this purpose, the composition and content of the relevant methodological apparatus for assessing efficiency and a comprehensive indicator of technical excellence of unmanned aerial vehicles with turbojet engines are substantiated. In contrast to existing approaches, the obtained comprehensive indicator allows to evaluate UAVs on the minimum necessary information about its flight data, which allows to use the proposed methodological apparatus for assessing UAVs already at the design stages. In accordance with the proposed methodological apparatus, the actual comparative assessment of the UAV group with turbojets was carried out. A differential scale for evaluating the technical perfection of UAVs has been constructed. This approach, in the opinion of the authors, will allow to increase the reliability of comparative evaluations of UAVs with turbojets for the minimum required amount of output data.

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