改进的多目标粒子群算法综合激励受限的共形阵  

Improved Multi-objective Particle Swarm Optimization Algorithm for Synthesizing Conformal Arrays with Excitations Restricted

作　　者：赵菲[1,2] 柴舜连[2] 叶良丰[2] 齐会颖[2] 毛钧杰[2] 

机构地区：[1]中国西南电子电信技术研究所,四川成都610041 [2]国防科学技术大学电子科学与工程学院,湖南长沙410073

出　　处：《航空学报》2013年第8期1944-1952,共9页Acta Aeronautica et Astronautica Sinica

摘　　要：针对激励限制下的共形阵功率方向图综合问题,提出一种改进的多目标粒子群优化(IMOPSO)算法。将共形阵列在激励限制条件下的综合命题,转化为激励优化和功率方向图赋形的多目标优化命题。IMOPSO算法通过引入多子群寻优、粒子聚焦距离优选、非支配解集修剪以及新生粒子微扰复制等机制,显著提高了传统多目标粒子群优化(MOP-SO)算法所构建Pareto解集的优越性和散布性。IMOPSO算法成功用于12元微带柱面共形阵非赤道面的方向图综合,获得了不同约束条件下最优余割平方波束方向图综合结果集合,综合过程考虑了各阵元的互耦作用,为规划共形相控阵的激励限制提供了极有价值的参考。For the purpose of power pattern synthesis for conformal arrays with excitations restricted,an improved multi-objective particle swarm optimization（IMOPSO） algorithm is proposed.By applying this IMOPSO algorithm,the original problem can be transformed into a multi-objective optimization problem in which excitation optimization and power pattern synthesis are considered at the same time.By introducing multi-subgroup optimization,particle focused distance selection,Pareto solution set cutting,and a new particle copy mechanism,the performance of the IMOPSO algorithm is improved significantly as compared with the traditional multi-objective particle swarm optimization（MOPSO） algorithm.Moreover,IMOPSO algorithm is applied to synthesizing multiple-pattern in 12-element microstrip cyclinder sector conformal array in non-equatorial plane successfully,and a set of power patterns with different excitation restrictions for microstrip conformal arrays is achieved by IMOPSO algorithm,with the mutual coupling and polarizing deterioration of the elements considered.This offers a valuable reference for designing feed strategies of conformal phased array conformal phased array.

关 键 词：共形天线阵 多目标粒子群优化 方向图综合 激励限制 互耦 

分 类 号：V243.4[航空宇航科学与技术—飞行器设计] TN820[电子电信—信息与通信工程]