基于粒子群算法的宽带电阻型FSS吸波材料优化设计

    Optimal Design of Broadband Resistive FSS Absorbing Material Based on Particle Swarm Optimization

    • 摘要: 利用电阻型FSS 吸波材料结构,结合粒子群算法优化设计了一种宽频带低剖面的微波吸波材料。通过设计不同的自适应度函数,探讨了优化策略对吸波材料设计结果的影响。在综合平衡宽带和低剖面的条件下,设计出的吸波材料,其-10dB 带宽达到6. 25 ~25. 30GHz,而厚度仅为3.92mm。对设计结果进行了实验验证,结果证明了粒子群优化算法设计的有效性。所采用的计算流程可以全程自动进行优化处理。

       

      Abstract: With particle swarm optimization technique, we designed a broadband low-profile microwave absorber based on resistive frequency selective surface. By designing the fitness functions, we discussed the influence of the optimization strategy on the result of design. Toward to the goal of broadband and low profile, we achieved an absorber with -10dB band-width from 6. 25 to 25. 30GHz, and thickness only about 3. 92mm. The design was validated by experiments, and the results was in a good agreement with the design for which the optimizing processing can be finished automatically.

       

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