On the problem of estimating the completeness of the UAV aerodynamic characteristics under uncertainty

The article presents the formulation of the problem of clarifying the aerodynamic characteristics (ADC) of unmanned aerial vehicles (UAVs), obtained from the results of flight technical tests (LTI) or aerodynamic blowdowns, which is the task of multi-criteria multi-parameter multi-factor identification of indicators and characteristics of complex technical systems and their structural-parametric optimization.
In the presence of uncontrolled factors, i. e. conditions of uncertainty, the problem of estimating the completeness of the UAV aerodynamic characteristics under uncertainty is supplemented by operators of uncertainty disclosure. In design tasks two types of uncertainties are usually considered: multi-factor uncertainty (natural and (or) artificial origin) and multi-criteria uncertainty associated with design decisions, taking into account the interests of all the optimality criteria that have been set, which is difficult to formalize completely.
The problem of estimating the completeness of UAV characteristics under conditions of uncertainty is outlined. A software and methodological complex for the statistical synthesis of an aerodynamic UAV model is presented.
The following issues are addressed:

• to develop a method of statistical analysis of structural and parametric design relationships of aerodynamic characteristics of UAVs, which allows to restore design and functional relationships between design parameters and criteria assessments of the aerodynamic model of UAVs;
• to develop a method for statistically assessing the aerodynamic completeness of UAVs from experimental data, allowing to assess the completeness of the experimental (approximate) model developed by the UAV on determination criteria and Darbin-Watson, which differs from known topics, that this method summarizes the analytical procedures of the method in the inverse function space, which show the extent to which the built approximation model explains the patterns contained in the statistical sample;
• to develop mathematical models and algorithms of synthesis of aerodynamic characteristics of UAVs on experimental data, which reduce the financial and time cost of aerodynamic blowing in a supersonic wind tunnel and full-scale testing in the development of new UAV samples and their modifications.