An Adjoint-based Shape Optimization Design System for the Radar Cross Section Reduction

Ming Li, Chaoyu Liu, Feng Qu, Junqiang Bai

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

An efficient shape optimization design system for the Radar Cross Section (RCS) reduction using the adjoint approach is discussed. The Method of Moments (MoM) and the Multilevel Fast Multipole Algorithm (MLFMA) are applied to solve the Combined Field Integral Equation (CFIE) or the Poggio-Miller-Chang-Harrington-Wu-Tsai (PMCHWT) equation to calculate the RCS. As for the high-frequency scattering problem, the Physical Optics (PO) method is selected to calculate the RCS due to its efficiency. The gradient of the RCS is obtained by solving the adjoint equations. The code that calculates the derivatives is developed with the help of the Automatic Differentiation (AD) technique. The Free-Form Deformation (FFD) approach is used to parameterize the shape and the Sequential Quadratic Programming (SQP) is chosen as the optimization algorithm. Without a large number of function evaluations, this design system could efficiently obtain the shape that meets the stealth requirements.

源语言英语
主期刊名2021 International Applied Computational Electromagnetics Society Symposium, ACES-China 2021, Proceedings
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9781733509619
DOI
出版状态已出版 - 28 7月 2021
活动4th International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2021 - Chengdu, 中国
期限: 28 7月 202131 7月 2021

出版系列

姓名2021 International Applied Computational Electromagnetics Society Symposium, ACES-China 2021, Proceedings

会议

会议4th International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2021
国家/地区中国
Chengdu
时期28/07/2131/07/21

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