粒子群算法在三维微带阵列优化设计中的应用

    Application of PSO Algorithm in Optimizing Wideband Microwave Absorber Based on a Three-Dimensional Periodic Microstrip Array

    • 摘要: 采用粒子群算法与微波仿真软件CST 联合仿真的方法,针对拓展吸波带宽或降低吸波材料厚度的不同要求,通过设计不同的适应度函数,实现了对三维微带线阵列吸波结构材料的优化设计。设计结果表明,经过优化设计,吸波材料的吸波带宽可以增加30%,或在吸波性基本不变的条件下材料厚度减少15%。调节适应度函数中的权重,还可以有针对性地拓展吸波材料的频率低频段或高频段。所采用的计算流程可以全程自动进行优化处理。

       

      Abstract: In this paper,a co-simulation method combining Particle Swarm Optimization (PSO) algorithm used in Matlab and the CST studio suite software is put forward to solve the design problem of wideband microwave absorber based on a two-dimensional periodic array of microstrip lines. It can both expand the absorbing bandwidth and decrease the thickness of the absorbing material by setting different fitness function. And the results show that the bandwidth is 30% expanded as well the thickness is 15% decreased. The bandwidth can be targeted expanded at the low end or high end by adjusting the weights of the fitness function The optimization processed automatically. The optimization is easy to carry out and able to get satisfied results.

       

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