融合智能算法和代理模型的天线快速优化平台设计

Design of Antenna Rapid Optimization Platform Based on Intelligent Algorithm and Surrogate Model

电磁仿真软件作为天线设计的主要工具,针对其内置的优化器在优化效率、支持优化类型以及优化结果可用性上的问题,提出建立一种天线快速优化平台的解决方案。该平台采用Ansoft HFSS和Matlab联合仿真,并基于天线优化流程提供友好的图形化操作界面;融合前沿的智能优化算法和代理模型方法,用于处理天线多目标优化问题并生成Pareto最优解集;同时为其他复杂天线执行性能优化提供参考。小型多频段平面单极子天线设计实例表明,该平台能够实现多参数天线结构的快速优化,提高天线设计的效率。

Electromagnetic simulation software is the main tool for antenna designs.For the optimization efficiency,supported optimization types and optimization results usability of its built-in optimizers,a solution for establishing an antenna rapid optimization platform is proposed.This platform adopts Ansoft HFSS and Matlab co-simulation method and provides a friendly graphical interface based on the antenna optimization process.It combines state-of-the-art intelligent optimization algorithms with surrogate model methods for addressing multi-objective antenna optimization problems and generating Pareto optimal solution sets.It also provides a reference for other complex antennas to perform performance optimization.An example of a miniaturized multiband planar monopole antenna shows that the platform can implement the rapid optimization of multi-parameter antenna structures and improve the efficiency of antenna design.