Solving preliminary design problems under conditions of parametric uncertainty

The article is devoted to the optimal design of complex technical systems with uncertain parameters. The technique for solving preliminary design problems under conditions of parametric uncertainty is described. The problem of optimizing the characteristics of a propulsion system for a supersonic maneuverable aircraft is solved, while fulfilling the basic requirements for the characteristics of subsonic flight under conditions of parametric uncertainty. To solve this problem, Liu's uncertainty theory is used, which allows to lead optimization models with uncertainty to models of mathematical programming. Computational effectiveness of the offered method is shown by comparison with the solution of this task by method of simulation modeling.