Numerical solution of information and statistical synthesis of unmanned aerial vehicles (UAVs) according to the experimental data

This paper presents a formulation of the problem of information and statistical synthesis of unmanned aerial vehicles (UAVs) according to the experimental data. The correction of mathematical model of UAV based on experimental data consists of solving identification of the UAV parameters and objectives of the statistical analysis of the UAV model-s completeness. The identification parameters UAV consists of matching the UAV original model based on experimental data. A design solution is selected by the regularity criterion. The completeness of the UAV model is satisfied when all the laws existing in the experimental data are included in the mathematical model of UAV. This is a multi-criteria problem with two criteria of optimality and one vector functional limitation.

The target of the statistical analysis of experimental aerodynamic UAV model is to construct a correlation matrix consisting of the cor-relation coefficients between all possible pairs of the members of the aerodynamic dependencies based on the model of structural-parametric approximation of the experimental data.

Operational matrix for solving the problem is the initial statistical sample for the adoption of sustainable design solutions in a multi-criterial and multifactorial uncertainties.

The results of the numerical solution confirms the stability of the method of synthesis of the statistical design solutions to multi-factors and uncertainties multi-objective.