摘要
行波管作为一种广泛应用于电子对抗等领域的真空电子器件,其性能在电子信息化飞速发展的21世纪被提出了更高的要求。电子枪是行波管中一个至关重要的部件,因此电子枪的优化设计是提升行波管性能的有效方式。行波管电子枪根据性能要求由迭代综合法或非迭代综合法计算得到各电极参量的初值后,进一步对电子枪参量进行优化时,一般采用参数扫描法,针对多参量多目标函数优化时往往处理数据量大,优化速度慢。本文构建了对电子枪电性参量、结构参量同时进行优化的Levenberg-Marquardt算法,可以处理多目标函数多参量问题,提高优化效率,并以此为基础对一个可应用于行波管的电子枪的电极参量及其外加磁透镜的磁极参量进行了优化,最终电子枪发射性能参数达到阴极总发射电流2.5114 mA,注腰半径11.23μm,注电流密度633.6504 A/cm^(2),面压缩比79.2650。
Traveling wave tube(TWT)is a kind of vacuum electronic device widely used in electronic countermeasure fields.With the rapid development of electronic information technology,higher TWT performance is required in the 21 st century.Electron gun is an important part of TWT,so the optimization design of electron gun is an effective way to improve the performance of TWT.According to the performance requirements,initial electrode parameters of the electron gun are calculated by iterative synthesis methods or non-iterative synthesis methods and then are further optimized.However,the data amount of the multi-parameter multi-objective function optimization is always large,and the optimization process is slow when using general parameter scanning method.Levenberg-Marquardt algorithm is constructed to optimize the electrical parameters and structural parameters of electron guns simultaneously,which can deal with multi-objective function multi-parameter problem and improve the optimization efficiency.On this basis,the electrode parameters of an electron gun for TWT and the magnetic parameters of the corresponding magnetic lens are optimized.The total cathode emission current of the final electron gun is 2.5114 mA,the waist radius is 11.23μm,the injection current density is 633.6504 A/cm^(2)and the surface compression ratio is 79.2650.
作者
陶宇轩
赵静宜
胡金涛
康永锋
TAO Yu-xuan;ZHAO Jing-yi;HU Jin-tao;KANG Yong-feng(Ministry Education Key Laboratory for Physical Electronics and Devices Laboratory,School of Electronic Science and Engineering,Xi'an Jiaotong University,Xi'an 710049,China)
出处
《真空电子技术》
2023年第1期29-35,共7页
Vacuum Electronics
基金
陕西省重点研发计划项目(2021GXLH-Z-048)
