THE METHODOLOGY OF STOCHASTIC OPTIMIZATION OF PARAMETERS AND CONTROL
LAWS FOR THE AIRCRAFT GAS-TURBINE ENGINES FLOW PASSAGE COMPONENTS
ASME, 99-GT-227, 1999.
This paper presents the main theses of stochastic approach to the multimeasure
parameters and control laws optimization for the aircraft gas-turbine
engines. The methodology allows us to optimize the engines taking into
account the technological deflections which inevitably take place in the
process of manufacturing of the engine’s components as well as engine’s
control deflections. The stochastic optimization is able to find highly
robust solutions, stable to inaccuracies in technological processes.
The effectiveness of the methodology is shown by example of optimization
problem solution to find the control laws for the flow passage controllable
elements of the 4-th generation aircraft mixed-flow turbofan engine. The
use of information about the existing and advanced production technology
levels during the optimization process, including some components manufacturing
accuracy, allows us to considerably increase the probability of optimum
solution implementation in practice. In real engine there are some components
manufacturing deflections as well as control accuracy deflections. It
results a certain engine’s performance deviation. An engine optimization
classic deterministic approach can not take into account this circumstance,
so the probability of an optimum design implementation is too low.
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