蝶形单元电磁带隙结构粒子群优化设计研究

Optimal design of electromagnetic bandgap structure with bow-tie unit based on particle swarm optimization

通过粒子群优化算法对一种具有蝶形单元的电磁带隙结构进行了优化设计,使其具有良好的频率特性。在优化过程中,为克服粒子群算法存在的早熟收敛和搜索精度低等问题,模拟生物克隆选择中5%的B细胞自然消亡过程,在优化算法进化过程中基于混沌理论和变异原理设计了粒子更新算法,并按照模拟退火方法进行更新后粒子的选择。通过仿真计算可以看出:给出的粒子群算法适合于蝶形单元电磁带隙结构的优化设计。优化后的电磁带隙结构在阻带性能和-10 dB带宽基本不变的情况下,通带波纹明显减小且基本对称,频率特性较好。

An electromagnetic bandgap（EBG）structure with bow-tie unit is optimized by using particle swarm optimization（PSO）algorithm. The standard PSO has shortcomings,such as premature convergence, searching precision lowness, etc. So based on the simulation of natural death process of 5% B-cell in biology clone selection,this paper proposes particles updating algorithm according to theory of chaos and principle of mutation;and then selects the updated particles in terms of simulated annealing method. Simulation results show that the developed PSO is suitable to optimize the EBG structure with bow-tie unit. The pass band ripples of the optimized EBG structure are very small and basically symmetrical in an approximately unchanged stop band and -10 dB bandwidth, and frequency characteristic of the optimized EBG is well.