Research on high altitude simulation test of aero engine based on genetic algorithm optimization uniform design

DOI:	10.11809/bqzbgcxb2023.09.038
Keywords:	uniform design; genetic algorithm; aero engine high altitude simulation test; good lattice method; mixture discrepancy
Abstract:	At present, the number of existing uniform design tables is small, and the numbers of levels and factors of each table are small. For the characteristics of aero engine high altitude simulation test with many factors and levels, the uniformity of existing uniform design tables is not good and the efficiency is not high, which greatly restricts the application of uniform design in the field of aero engine high altitude simulation test. To improve the efficiency of uniform design and get rid of the limitation of using the table and generate a design table with better uniformity, the integer coding genetic algorithm optimization method of the uniform design construction method under mixed deviation is proposed. Compared with the threshold acceptance method, the uniformity of the optimization method is obtained better. Finally, through the simulation test of the influence of the adjustable guide vane and the optimal matching law of the engine high altitude table air start, the estimation error of the optimization search is obtained to be less than 1%, while the test optimization rate reaches 99.923%, which verifies that the test optimization rate is better than the threshold acceptance method. The design method proposed is proven to be efficient and accurate.
Published:	2023-09-28
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