电子电气工程与控制

航空发动机排气系统单站RCS准确高效仿真方法与试验验证

  • 陈新蕾 ,
  • 卢立昌 ,
  • 吉洪湖 ,
  • 顾长青 ,
  • 高帆 ,
  • 施小娟
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  • 1.南京航空航天大学 电子信息工程学院 雷达成像与微波光子学教育部重点实验室,南京 211106
    2.南京航空航天大学 能源与动力学院,南京 210016
.E-mail: chenxl@nuaa.edu.cn

收稿日期: 2022-06-24

  修回日期: 2022-07-19

  录用日期: 2022-08-15

  网络出版日期: 2022-11-04

基金资助

国家自然科学基金(61771238);南京航空航天大学雷达成像与微波光子学教育部重点实验室项目(NJ20220004)

Accurate and efficient simulation method and experimental verification of monostatic RCS for aeroengine exhaust systems

  • Xinlei CHEN ,
  • Lichang LU ,
  • Honghu JI ,
  • Changqing GU ,
  • Fan GAO ,
  • Xiaojuan SHI
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  • 1.Key Laboratory of Radar Imaging and Microwave Photonics,College of Electronic and Information Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China
    2.College of Energy and Power Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China
E-mail: chenxl@nuaa.edu.cn

Received date: 2022-06-24

  Revised date: 2022-07-19

  Accepted date: 2022-08-15

  Online published: 2022-11-04

Supported by

National Nature Science Foundation of China(61771238);the Project of Key Laboratory of Radar Imaging and Microwave Photonics (Nanjing University of Aeronautics and Astronautics), Ministry of Education(NJ20220004)

摘要

准确高效的电磁散射仿真方法对设计隐身航空发动机排气系统非常重要。将特征基函数法(CBFM)、多层快速多极子算法(MLFMA)、插值分解(ID)算法和并行技术相结合,对发动机排气系统的单站雷达散射截面(RCS)进行仿真计算。插值分解(ID)可以对单站激励矩阵进行低秩压缩,因此可以减少矩阵方程的求解次数,显著提高了传统CBFM-MLFMA的计算效率。为了验证算法的正确性,对轴对称排气系统模型进行了加工和RCS试验测试。与测试结果相比,仿真结果与其吻合良好,验证了算法的精度。

本文引用格式

陈新蕾 , 卢立昌 , 吉洪湖 , 顾长青 , 高帆 , 施小娟 . 航空发动机排气系统单站RCS准确高效仿真方法与试验验证[J]. 航空学报, 2023 , 44(12) : 327676 -327676 . DOI: 10.7527/S1000-6893.2022.27676

Abstract

Accurate and efficient electromagnetic scattering simulation method is very important for the design of stealthy aeroengine exhaust systems. In this paper, the Characteristic Basis Function Method (CBFM), Multilevel Fast Multipole Algorithm (MLFMA), Interpolation Decomposition (ID) algorithm and parallel technology are combined to simulate the monostatic Radar Cross Section (RCS) of engine exhaust systems. ID can compress the monostatic excitation matrix due to its low rank property, so it can reduce the number of times of solving matrix equations and significantly improve the computational efficiency of the conventional CBFM-MLFMA. To verify the correctness of the algorithm proposed, the axisymmetric exhaust system is machined and its RCS is measured. The simulation results are in good agreement with the measured results, which demonstrates the accuracy of the algorithm.

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