Structural-Parametric Synthesis of Complex Technical Systems Under Conditions of Uncertainty Based on Statistical Analysis of Experimental Data

A generalized formulation of the problem of structural and parametric synthesis of complex technical systems under conditions of uncertainty based on the results of experimental data is presented, complementing the methodology of system engineering in life cycle management. Approaches to solving the problem of restoring design and functional relationships and clarifying the design parameters and characteristics of unmanned systems obtained from the results of field tests are proposed. As an example, a prototype of a subsonic unmanned system with specified design requirements is considered. the methodological basis is the theory of structural-parametric synthesis and statistical analysis of complex systems, as well as methods of mathematical statistics and parametric optimization. the problem of structural-parametric synthesis is formed by supplementing it with operators for the disclosure of uncontrolled factors. In order to find an analytical solution, the decomposition of the problem was carried out and the need to solve a set of interrelated tasks to find the correspondence of design parameters and experimental data was shown. the quality of the restored dependencies was assessed by the criterion of regularity and non-bias. A software and methodological complex for the statistical synthesis of an unmanned system is presented. the solution of the task allows us to analyze the compliance of design parameters and characteristics of unmanned systems with experimental data, which allows us to restore the design and functional connections of the designed unmanned system. This will allow for more efficient use of financial, production and time resources in the design of unmanned systems.