基于等效电路和MOPSO算法的FSS设计

Yaxi Pan, Jian Dong
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引用次数: 0

摘要

提出了一种基于等效电路(EC)和多目标粒子群优化(MOPSO)算法的频率选择曲面(FSS)设计方法。首先建立具有期望频率响应的EC。然后根据EC和构建块确定初始结构。最后,采用MOPSO算法对结构参数进行优化。将其应用于三通带FSS,分析结果表明,这种全局扫描方法可以更快、更准确地获得目标FSS。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of FSS Using Equivalent Circuit and MOPSO algorithm
In this paper, a design method of frequency selective surface (FSS) using an equivalent circuit (EC) and multi-objective particle swarm optimization (MOPSO) algorithm is proposed in this paper. The EC with the desired frequency response is established first. Then the initial structure is determined based on the EC and building blocks. Finally, the structure parameters are optimized using the MOPSO algorithm. It was applied to the triple pass-band FSS, and the analysis of the results shows that such the global scan method can obtain the target FSS more swiftly and accurately.
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