节点文献
基于徒步优化算法的低散射外形设计研究
Research on Low Scattering Shape Design Based on Hiking Optimization Algorithm
【Author】 Ying Liu;Xiaofeng Que;Lin Zhou;University of Electronic Science and Technology of China;China Aerodynamics Research and Development Center;
【机构】 电子科技大学; 中国空气动力研究与发展中心;
【摘要】 雷达散射截面(RCS)是评估目标隐身性能的关键物理量,与目标外形密切相关。本文研究了一种低散射外形优化设计方法,通过自由变形技术(FFD)对目标几何外形进行参数化控制,并结合电磁算法进行仿真,构建了基于徒步优化算法(HOA)的优化设计框架。以进气道鼓包结构作为研究对象,优化后的模型在-5°至5°角度范围内,RCS均值降低了3.4dB,并与粒子群优化算法进行了比较,验证了该方法在低散射外形优化设计的有效性。
【Abstract】 Radar cross section(RCS) is a key physical quantity for evaluating the stealth performance of targets and is closely related to the shape of the target. This article studies a low scattering shape optimization design method, which parametrically controls the target geometric shape through free deformation technology(FFD), and combines electromagnetic algorithms for simulation to construct an optimization design framework based on hiking optimization algorithm(HOA). Taking the bulging structure of the intake duct as the research object, the optimized model reduced the average RCS by 3.4dB in the angle range of-5 ° to 5 °, and compared it with the particle swarm optimization algorithm to verify the effectiveness of this method in low scattering shape optimization design.
【Key words】 low scattering carrier; free deformation technology; hiking optimization algorithm;
- 【会议录名称】 2025年全国微波毫米波会议报告集-TP3T
- 【会议名称】2025年全国微波毫米波会议(2025年中国微波周)
- 【会议时间】2025-05-19
- 【会议地点】中国陕西西安
- 【分类号】TN95;TP18
- 【主办单位】中国电子学会