Adjoint-Based RCS Surface Sensitivity Calculation and Aero/RCS Optimization

Lin Zhou, Xian Chen, Jiangtao Huang, Jun Deng, Zhenghong Gao

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Adjoint-based RCS gradient computation approach is introduced, and an adjoint-based RCS surface sensitivity analysis method is proposed. Existing adjoint approaches, the needs to fill impedance matrix repeatedly during gradient calculation lead to low efficiency when the number of design variables and incident angles are large. This paper proposes an approach to calculate radar cross section surface sensitivity based on adjoint and automatic differentiation method. And a sparse matrix storage method considering the characters of RWG basis function is adopted to reduce the memory requirements of impedance matrix differentiation. The proposed method can obtain the surface sensitivity of all surface nodes with one matrix differentiation calculation. For different incident angle, the calculation of design variable gradients of any number will not exceed 16 matrix-vector products. The proposed surface sensitivity calculation approach can effectively improve the efficiency of gradient calculation and provide intuitive guidance for optimal design.

源语言英语
主期刊名2023 Asia-Pacific International Symposium on Aerospace Technology, APISAT 2023, Proceedings - Volume II
编辑Song Fu
出版商Springer Science and Business Media Deutschland GmbH
1715-1730
页数16
ISBN(印刷版)9789819740093
DOI
出版状态已出版 - 2024
活动Asia-Pacific International Symposium on Aerospace Technology, APISAT 2023 - Lingshui, 中国
期限: 16 10月 202318 10月 2023

出版系列

姓名Lecture Notes in Electrical Engineering
1051 LNEE
ISSN(印刷版)1876-1100
ISSN(电子版)1876-1119

会议

会议Asia-Pacific International Symposium on Aerospace Technology, APISAT 2023
国家/地区中国
Lingshui
时期16/10/2318/10/23

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