In order to solve the problem that traditional model repair methods are prone to fall into local op-timization,an aeroengine component-level model fine-tuning method based on the chunked cross-reliability do-main method is proposed.The method firstly solves the problem of the large gap between the original generalized characteristic map and its real characteristics by roughly scaling through the correction function method.On the basis of this,a chunking strategy of the characteristic map is adopted to locally correct the characteristic map by utilizing the steady state point data of the test vehicle.The cross trust region method is further proposed to find the modification parameter space of the local region,so as to adaptively adjust the optimization space under different engine states.Finally,the introduction of selecting specific optimization spaces for different correction regions avoids the local optimum problem brought by a single optimization interval.Simulation results show that compared with the traditional correction function method,the method proposed in this paper can reduce the average error of each steady state condition point of the model from 1.13%to about 0.51%,and the average accuracy is improved by 54%,which significantly improves the accuracy of the mathematical model of the aeroengine.
AeroengineTurbofan component level modelModified function methodCharacteristic mapCorrection function method
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