论文部分内容阅读
介绍了电子科技大学计算电磁学实验室近年来在计算电磁学领域取得的一些进展和成果。在数值计算方法方面,针对传输、辐射和散射问题,提出了一些新的和改进的时域数值方法和频域数值方法,在保证计算精度的同时提高了仿真的计算效率。在电磁建模方面,提出了知识人工神经网络方法和新型传输线方法,作为高效的CAD工具,其能实现准确和快速的电磁建模。在电磁优化方面,采用跳跃基因遗传算法和空间映射方法对天线和微波无源器件进行了高效率的优化。
In this paper, some progresses and achievements of computational electromagnetism laboratory of UESTC in the field of computational electromagnetism are introduced. In terms of numerical methods, some new and improved numerical methods in time domain and frequency domain are proposed for the transmission, radiation and scattering problems. The computational efficiency of the simulation is improved while the computational accuracy is guaranteed. In terms of electromagnetic modeling, a knowledgeable artificial neural network approach and a new transmission line approach are proposed as efficient CAD tools that enable accurate and rapid electromagnetic modeling. In the area of electromagnetic optimization, antenna and microwave passive components are optimized efficiently using Hop Genetic Genetic Algorithm and Spatial Mapping.