基于相对论返波管的全三维PIC/PSO数值优化研究

Numerical optimization study of PIC/PSO for RBWO

本文研究了粒子群优化算法(PSO),在全三维粒子模拟(PIC)软件CHIPIC平台上,设计了PSO优化模块,成功研制了PIC/PSO代码.接着,研究了多频(包括单频)微波的输出功率特性,并根据该特性设计了一类目标函数.采用该类型优化目标函数,分别对单频与双频相对论返波管(RBWO)进行了模拟优化.模拟优化结果显示:随着优化过程的进行,单频RBWO的频率特性向单频靠近,双频RBWO的频率特性则向等幅双频靠近,它们的输出功率都逐渐增大.这表明通过控制该类型目标函数参数,该PIC/PSO代码可分别对单频与双频RBWO进行优化.

In this paper, based on the three-dimensional particle-in-cell （PIC） platform CHIPIC, a module of particle swarm optimization （PSO） is designed, and the code of PIC/PSO is developed. Then, the properties of multi-frequency output power are studied. Based on these properties, a class of optimization object functions is designed. With this PIC/PSO code and this class of object functions, single-frequency and dual-frequency RBWOs are optimized respectively. The optimization results show that both the single-and dualfrequency RBWOs can be optimized successfully with the corresponding object functions.