| Citation: | ZHANG Weigang, CHEN Yuzhi, GOU Linfeng, et al. Model adaptation of micro turbojet engines based on hierarchical optimization[J]. Journal of Aerospace Power, 2026, 41（3）：20240835 doi: 10.13224/j.cnki.jasp.20240835
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In order to enhance the simulation accuracy of the micro turbojet engines performance model, a model adaptation algorithm based on hierarchical optimization was proposed. Firstly, a general simulation model was established and its reliability was verified by comparison with commercial software. Secondly, engine test runs of micro turbojet engines were carried out to obtain 14 sets of engine test data for both steady-state and transient conditions at off-designed point, including idle conditions. Thirdly, a two-level optimization algorithm for design point parameters and characteristic lines was designed to achieve high-precision steady-state simulation over a wide range of working conditions. Finally, based on the correction of dynamic effects, the simulation accuracy of the transient model was improved. Compared with the test data, the maximum relative error of the steady-state model was 2.4%, which was 88% lower than that without optimizing the design point parameters. Considering four transient effects, compared with that only optimizing the moment of inertia, the maximum relative error of the transient model was 12.9%, and the errors of compressor and turbine exit total temperature were reduced by 9.2% and 31.7%, respectively. Therefore, the model adaptation method for micro turbojet engines based on hierarchical optimization can effectively improve the simulation accuracy of both steady-state and transient conditions.
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