Novel multi-fidelity surrogate model assisted many-objective optimization method

被引:0
|
作者
Zhao H. [1 ]
Gao Z. [1 ]
Xia L. [1 ]
机构
[1] School of Aeronautics, Northwestern Polytechnical University, Xi’an
基金
中国国家自然科学基金;
关键词
many-objective global optimization; multi-fidelity surrogate model; nonlinear dimension-reduction; rotor airfoil; variable-fidelity pseudo expected improvement matrix;
D O I
10.7527/S1000-6893.2022.26962
中图分类号
学科分类号
摘要
Compared with a conventional helicopter,a compound helicopter with its rigid coaxial rotor,famous as an Advancing Blade Concept(ABC)rotor,has more stringent requirements for the aerodynamic performance of the rotor airfoil. And the 10 more index requirements,e. g. ,the low-drag and high drag-divergence characteristics at higher Mach numbers,the high lift-drag characteristics at medium and low Mach numbers,and good pitching moment characteristics at all conditions,face the problem of many-objective optimization. To solve this issue,this paper first develops a novel nonlinear dimension-reduction technology based on Kernel Principal Component Analysis(KPCA),then establishes an efficient many-objective robust optimization framework based on a novel Adaptive Multi-Fidelity Polynomial Chaos-Kriging(AMF-PCK)surrogate model. Moreover,the paper proposes a Variable-Fidelity Pseudo Expected Improvement Matrix (VF-PEIM) parallel in-filling method,which significantly improves the efficiency and ability of many-objective optimization. The novel AMF-PCK assisted multi-objective optimization method is used to optimize the 7% thickness rotor airfoil of such compound helicopter. The aerodynamic performances of the designed airfoils are compared with those of the classical OA407 airfoil at high,medium,and low Mach numbers comprehensively. Results demonstrate the effectiveness of the proposed many-objective global optimization method and a significant improvement of high-speed aerodynamic characteristics of the designed rotor airfoils. © 2023 AAAS Press of Chinese Society of Aeronautics and Astronautics. All rights reserved.
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