THE USE OF VARIABLE FIDELITY MODELS IN THE OPTIMIZATION
PROBLEMS FOR AIRCRAFT ENGINES PARAMETERS AND CONTROL LAWS
ASME, 2000-GT-3, 2000.
The typical situation when solving a problem of an aircraft engine optimization
is that a researcher has several tools for effectiveness indices analysis,
distinguished according to the levels of complexity and accuracy. The
high-fidelity tools can be the detailed nonlinear mathematical models
or even the experimental samples of the engine or its components. However
the implementation of optimization researches using such a tools is associated
with the significant time expenditures. The low-fidelity models also allow
us to carry out optimization search, but the validity of the obtained
results can be rather low. Therefore the methods based on a combination
of various levels of the analysis tools are going to be used in the field
of optimization of the aircraft engines parameters and control laws.
The given paper introduces the multicriteria optimization procedure for
aircraft power plants and their components. The procedure is based upon
the adaptive use of different levels analysis tools. The proposed approach
is intended to minimize the complicated analysis tools application. It
uses the method of indirect optimization on the base of self-organization,
which permits to find numerically the Pareto-optimal set of solutions,
uniformly distributed in the criteria space.
The effectiveness of the proposed optimization procedure is demonstrated
by two examples. The first one is a problem to find the optimal control
laws for the power plant of short take-off and vertical landing aircraft
for its take-off (50 variables, 2 criteria). The second one is the problem
of multistage axial compressor optimization aimed at its efficiency maximization
(42 variables, 2 criteria).
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