电子学报2025，Vol.53Issue(1)：51-62,12.DOI:10.12263/DZXB.20240506
基于自适应空间映射多可信度模型的网状天线形态机电集成优化设计
Integrated Structural Electromagnetic Optimization Design of Mesh Antennas Based on Adaptive Space Mapping Multi-Fidelity Model
摘要
Abstract
To reduce the high analysis costs associated with the integrated structural electromagnetic optimization de-sign of mesh antennas,a multi-fidelity method based on adaptive space mapping has been proposed.Based on the connec-tion relationships between the cable and trusses,the analysis models of mesh antennas are classified into high-fidelity and low-fidelity.By using a space mapping matrix,high-fidelity samples are mapping to the space of low-fidelity,thereby en-hancing the correlation between high and low fidelity analyses.Subsequently,a multi-fidelity model is established using the low-fidelity samples and mapped high-fidelity.Finally,apply it to mesh antennas.Compared to traditional multi-fidelity models,the multi-fidelity model based on space mapping achieved an average success rate increase of 47.3%on test func-tions with space biases.In the application case of form design for mesh antennas,compare to the traditional partical swarm optimization(PSO),the optimization results have been improved by an average of 0.515 dB while maintaining the same cost.Furthermore,compared to optimizations using the traditional multi-fidelity model,the optimization result improved by an average of 0.321 dB.The effectiveness of this method has been validated through numerical experiments and practical application of integrated structural electromagnetic optimization design of mesh antennas.关键词
网状天线/多可信度模型/空间映射/形态优化/神经网络Key words
mesh antenna/multi-fidelity modeling/space mapping/form design/neural network分类
电子信息工程引用本文复制引用
谭育正,寇丹阳,张树新..基于自适应空间映射多可信度模型的网状天线形态机电集成优化设计[J].电子学报,2025,53(1):51-62,12.基金项目
国家自然科学基金(No.52322507) National Natural Science Foundation of China(No.52322507) （No.52322507）
