粒子群优化算法对吸波结构材料优化研究  

Optimized Design of Absorbing Structural Materials Using a Particle Swarm Optimization Algorithm

作　　者：郑日升[1] 张春林 ZHENG Ri-sheng;ZHANG Chun-lin(Beijing Institute of Electronic System Engineering,Beijing 100854,China;The military representative office of military representative office in Beijing,Beijing 100854,China)

机构地区：[1]北京电子工程总体研究所,北京100854 [2]陆军北京军事代表局驻北京地区军事代表室,北京100854

出　　处：《现代防御技术》2019年第6期88-93,共6页Modern Defence Technology

摘　　要：采用粒子群优化(particle swarm optimization,PSO)算法对3层Jaumann吸波结构隐身材料进行优化设计,重点以2~18 GHz范围内的材料反射率T<-15 dB频率带宽为优化目标。比较了粒子群优化算法和遗传算法在反射率T<-10 dB和T<-20 dB条件下的频率带宽,发现粒子群优化算法具有较好的频率带宽,并得到了相应的介电常数,隔离层厚度及电阻抗的值。在反射率T<-15 dB条件下,粒子群优化算法得到的反射率总和比遗传算法少约2 dB。结果表明,采用粒子群优化算法对三层Jaumann吸波结构材料反射率频宽具有较好的优化效果。Three layers absorbing structure stealth material is optimized with particle swarm optimization(PSO) algorithm. Optimization objective function is bandwidth of material reflectivity(T <-15 dB) in frequency of 2 ~ 18 GHz,it is found that PSO algorithm has wider frequency bandwidth than genetic algorithm(T <-10 dB and T <-20 dB),and the corresponding dielectric constant,isolation layer thickness and electrical impedance are obtained. Compared with genetic algorithm,the sum of reflectivity is less than 2 dB by PSO algorithm. The results show that PSO algorithm has better optimization effect for frequency bandwidth.

关 键 词：雷达隐身 吸波结构材料 粒子群优化算法 反射率 频率带宽 阻抗匹配 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构] TJ760.4[自动化与计算机技术—计算机科学与技术]