Stochastic optimization models and method in the turbomachines system aerodynamic improvement problem
A.A. Tronchuk, V.E. Afanasjevska, M.L. Ugruymov, A.V. Menyaylov
In the paper the approach of
system improvement, methodology and information technology of turbofan engine
elements main variables and operating tolerances robust estimation on basis of inverse
problems concept by stochastic optimization problem method are proposed. The method of multicriterion
system modification problem quasisolution searching
with input data uncertainly and with bordering of feasible solution class is
offered. Quasisolution synthesis is realized by
regularization of smoothing functional minimum searching with using the
A.N. Tihonov’s method. The multicriterion
modification problem numerical solution searching evolution method is created,
it based on genetic algorithm using. On
basis of development methodology the system aerodynamic turbofan engine (TFE)
compressor improvement were made.
Key words: stochastic optimization, incorrect
problem, regularization method, evolution method, turbomachine.