基于离散粒子群算法的频率选择表面优化设计研究*

徐念喜; 高劲松; 冯晓国

doi:10.7498/aps.63.138401

中国科学院长春光学精密机械与物理研究所，中国科学院光学系统先进制造技术重点实验室，长春 130033

Study on the optimal design of frequency selective surfaces based on the discrete particle swarm optimization

摘要: 为了解决大角度照射下的单侧介质加载的频率选择表面(frequency selective surfaces, FSS)通带高透过率和阻带高反射率要求之间的矛盾,本文采用离散粒子群算法(discrete particle swarm optimization, DPSO)优化设计FSS的周期间隔和图形几何尺寸等多个参数,在通带高透过率和阻带高反射率要求之间寻求一个最优的折衷的设计目标。仿真与试验表明：在TE电波70?照射下,采用DPSO优化出的一个半波壁厚电介质加载的密集型Y环孔径结构,其通带透过率达到80%,阻带透过率低于30%,从而为大角度照射下的天线罩提供一种优良FSS设计结果,并为解决FSS通带高透过率和阻带高反射率要求之间的矛盾提供理论指导。

关键词:

Abstract: The requirements of frequency-selective surface (FSS) between high transparency in pass band and high reflectance in stop band are contradictory, when they have loaded medium on one side and receive a large range of illumination. In order to solve the contradiction, this paper employs a discrete particle swarm optimization approach (hereafter referred to as a DPSO). In order to seek a balanced FSS with high transparency in pass band and high reflectance in stop band, the periodic intervals and geometrical dimensions of FSS-structures are optimized and designed by using the DPSO method. Simulation and test results indicate that the FSS of super dense Y loop elements in a half-loaded medium structure is presented in this paper: the transparency in pass band and stop band are 80% and 30% respectively. The DPSO method will offer an excellent FSS for the radome which receives a large range of illumination, and on the other hand, it provides a theoretical guidance for the requirements of FSS between high transparency in pass band and high reflectance in stop band.

基于离散粒子群算法的频率选择表面优化设计研究*

中国科学院长春光学精密机械与物理研究所，中国科学院光学系统先进制造技术重点实验室，长春 130033

关键词:

Study on the optimal design of frequency selective surfaces based on the discrete particle swarm optimization

中国科学院长春光学精密机械与物理研究所，中国科学院光学系统先进制造技术重点实验室，长春 130033

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