基于火烈鸟搜索算法的天线优化设计

doi:10.16180/j.cnki.issn1007-7820.2024.09.003

Abstract

Abstract:

In the field of antenna optimization design, traditional electromagnetic softwares adopt the method of sweeping with parameter, which causes the problems of large amount of calculation and low efficiency. In view of this problem, a joint optimized design based on flamingo search algorithm and HFSS (High Frequency Structural Simulator) is proposed in this study. This method is realized through the co-simulation of MATLAB and HFSS. MATLAB generates a VBS (Visual Basic Script) script for HFSS to call by writing the code of the design and simulation about antenna in MATLAB. HFSS returns the result of electromagnetic simulation to the function about fitness calculation. The flamingo search algorithm optimizes the particle position according to the fitness value until the optimal result is found and the optimal antenna size parameters are determined. In the co-simulation design, the optimal size parameters are found after 23 iterations, so that the fitness value of the optimized antenna in the two working frequency bands is optimized from -483.37 dB to -771.15 dB. The results of simulation show that the proposed algorithm has strong optimization ability and fast speed of convergence, which significantly improves the efficiency of the design of antenna optimization.

Key words: flamingo search algorithm, antenna co-simulation, antenna optimization, dual-band microstrip antenna, HFSS, MATLAB, automatic optimization, return loss

CLC Number:

TN820

HUANG Zeming, SHAN Zhiyong. Antenna Optimal Design Based on Flamingo Search Algorithm[J].Electronic Science and Technology, 2024, 37(9): 14-19.

Figures/Tables 10

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References 18

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参数	数值/mm	参数	数值/mm
L_g	42.0	G₁	25~30
W_g	26.0	G₂	11~15
W₃	1.5	R_L	1~4
F_p	8.0	L₁	28~32
F_r	2.0	L₂	21~26
W_s	2.3	L₃	6~10
W₁	2.0	L_s	26~30

	G₁/mm	G₂/mm	L₁/mm	L₂/mm	L₃/mm	Ls/mm	R_L/mm
HFSS优化	28	13.000 0	29.500 0	24.000 0	8.800 0	28	2.5
FSA优化	29	12.825 5	29.525 6	23.786 6	8.908 7	29	3.0

Antenna Optimal Design Based on Flamingo Search Algorithm

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