基于多保真度代理模型的装备系统参数估计方法

doi:10.3969/j.issn.1001-506X.2021.01.16

Abstract

Abstract:

System parameter estimation is a key part in the design and development of weapon equipment systems. Aiming at the problems of the increasing system complexity, dynamic changes in demand, fast response, and lack of high-precision datas in the design of complex systems, a parameter estimation method for the equipment systems based on multi-fidelity surrogate model is proposed. Firstly, this method establishes a proxy model for low-fidelity data based on the traditional Kriging model. Then, this model is used as a global trend model for establishing a multi-tidelity proxy mode by inserting high-fidelity data, and a parameter estimation method that meets both the requirements of high accuracy and efficiency is obtained. Finally, the parameter estimation of the maximum lift coefficient in the design of aircraft wing systems is taken as an example to verify the feasibility and effectiveness of the proposed method in equipment design and development, which servased as a decision support for designers.

Key words: complex system, surrogate model, multi-fidelity, Kriging model, parameter estimation

CLC Number:

TP305
N945

Jia LIU, Kewei YANG, Jiang JIANG, Boyuan XIA. Parameter estimation method of equipment system based on multi-fidelity surrogate model[J]. Systems Engineering and Electronics, 2021, 43(1): 130-137.

Figures/Tables 6

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Table 1

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Table 3

References 40

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样本点x_lf	响应值y_lf
38	1.760
27	1.705
29	1.715
22	1.680
36	1.750
33	1.735
25	1.695
31	1.725
20	1.670
35	1.745

样本点x_hf	响应值y_hf
21	1.684
25	1.713
30	1.773
33	1.795
38	1.825

模型类别	RMSE	MAX	R²
低保真度数据模型	0.049	0.066	0.085
多保真度代理模型	0.006	0.013	0.986

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Parameter estimation method of equipment system based on multi-fidelity surrogate model

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