基于伴随方法的无人机气动隐身优化设计

doi:10.7527/S1000-6893.2024.30010

Abstract

Abstract:

The shape design of the stealth UAV needs to give consideration to both aerodynamic and stealth performance and balance these two disciplines. To further tap the potentials of UAV， this paper adopts a multidisciplinary optimization design method to refine the shape. Firstly， an adjoint method for solving the gradient of Radar Cross Section （RCS） of a homogeneous medium target is established. The target with the stealth material is treated as a homogeneous medium. The RCS of the homogeneous medium is solved by the Poggio-Miller-Chang-Harrington-Wu-Tsai （PMCHWT） equation. Secondly， a multidisciplinary gradient optimization design system for aero/stealth is established by combining the Reynolds average Navier-Stokes equation solver， the free form deformation parameterization method， the inverse distance weight mesh deformation algorithm， the sequential quadratic programming algorithm， and the adjoint method. Finally， the aero/stealth optimization design of the shape of a UAV is carried out. The results show that the aerodynamic and stealth performance of the optimized shape is improved， which verifies the effectiveness of the method proposed.

Key words: adjoint method, Poggio-Miller-Chang-Harrington-Wu-Tsai (PMCHWT) equation, method of moments, RANS, multidisciplinary optimization, aero/stealth

CLC Number:

V211.41

Ming LI, Jiaojiao CHEN, Hai ZHOU, Yingwen CHEN, Junqiang BAI. Adjoint⁃based aero/stealth optimization design for UAV[J]. Acta Aeronautica et Astronautica Sinica, 2024, 45(17): 530010.

Figures/Tables 22

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算例	w₁	w₂	χ₁	χ₂
1	1.0	0	1.000 0	1.0
2	0.5	0.5	0.000 1	10.0
3	0.5	0.5	0.000 1	30.0

外形	攻角/（°）	C_D	升阻比
基准外形	2.59	0.025 04	9.98
优化外形1	2.29	0.024 41	10.24
优化外形2	2.22	0.024 42	10.24
优化外形3	2.38	0.024 82	10.07

外形	金属RCS/dBsm		介质RCS/dBsm
外形	HH极化	VV极化	HH极化	VV极化
基准外形	-10.76	-10.37	-27.31	-30.57
优化外形1	-10.81	-10.42	-26.65	-30.51
优化外形2	-10.85	-10.47	-26.58	-30.74
优化外形3	-10.93	-10.41	-25.46	-34.82

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Adjoint⁃based aero/stealth optimization design for UAV

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