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论文:2019,Vol:37,Issue(5):918-927 |
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引用本文： |
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樊华羽, 詹浩, 程诗信, 米百刚. 基于EHVI加点准则的DSI进气道气动/隐身多目标代理优化方法研究[J]. 西北工业大学学报 |
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FAN Huayu, ZHAN Hao, CHENG Shixin, MI Baigang. Aerodynamic and Stealth Integrated Design of DSI Inlet by Surrogate-Based Multi-Objective Optimization with EHVI Infill Criterion[J]. Northwestern polytechnical university |
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| 基于EHVI加点准则的DSI进气道气动/隐身多目标代理优化方法研究 |
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| 樊华羽1, 詹浩1, 程诗信1, 米百刚2 |
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1. 西北工业大学 航空学院, 陕西 西安 710072;
2. 清华大学 航天航空学院, 北京 100084 |
| 摘要: |
| 针对无附面层隔道超声速进气道（DSI）气动隐身多目标优化设计问题，以DSI进气道三维鼓包压缩面（bump）为设计对象，开展DSI的气动、隐身多目标优化设计研究。采用自由曲面变形（FFD）方法实现DSI进气道bump面的参数化表达；分别采用基于雷诺平均N-S方程的计算流体力学方法（CFD）及大面元物理光学法（LEPO）配合一致性几何绕射理论（UTD）计算边缘绕射场的RCS分析方法计算DSI进气道的气动、隐身性能；选择结合基于动态超体积期望改善（EHVI）加点的动态Kriging代理模型与ASMOPSO算法的高效多目标粒子群算法对DSI进气道进行综合寻优设计研究。在较少的调用真实目标函数的情况下，获得了比较优秀的Pareto前沿，通过对所选解的分析比较可知优化后的DSI进气道在气动及隐身方面均优于原始构型。 |
| 关键词:
DSI进气道
EHVI加点
ASMOPSO优化算法
气动隐身多目标优化
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| Aerodynamic and Stealth Integrated Design of DSI Inlet by Surrogate-Based Multi-Objective Optimization with EHVI Infill Criterion |
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| FAN Huayu1, ZHAN Hao1, CHENG Shixin1, MI Baigang2 |
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1. School of Aeronautics, Northwestern Polytechnical University, Xi'an 710072, China;
2. School of Aerospace Engineering, Tsinghua University, Beijing 100084, China |
| Abstract: |
| To deal with the problem of aerodynamic and stealth integrated optimization of DSI inlet,a multi-objective optimization study on aerodynamic and stealth of the DSI inlet is carry out which based on the deformation of the three-dimensional compression bump surface. The FFD parametric method is used to parameterize the bump surface; CFD calculation based on RANS equations is used to analyze the aerodynamic performance of the DSI inlet, large element physical optical method and uniform theory of diffraction are used to calculate RCS of the DSI inlet; And ASMOPSO algorithm with the Kriging surrogate model which based on the expect hyper-volume improvement infill criterion is adopted for integrated optimization design. The results of DSI inlet aerodynamic and stealth integrated optimization exhibit considerable improvement. |
| Key words:
DSI inlet
expect hyper-volume improvement (EHVI)
ASMOPSO algorithm
aerodynamic and stealth integrated optimization
Kriging surrogate model
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| 收稿日期: 2018-10-20
修回日期:
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| DOI: 10.1051/jnwpu/20193750918 |
| 通讯作者:
Email： |
| 作者简介: 樊华羽(1985-),西北工业大学博士研究生,主要从事飞行器空气动力及隐身优化研究。
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