微波器件微放电阈值功率自适应扫描方法

翟永贵; 李记肖; 王洪广; 林舒; 李永东

doi:10.11884/HPLPB201830.170530

微波器件微放电阈值功率自适应扫描方法

doi: 10.11884/HPLPB201830.170530

西安交通大学电子物理与器件教育部重点实验室，西安 710049

基金项目:

国家自然科学基金项目 U1537210

详细信息

作者简介:
翟永贵(1991－), 男，博士，从事微波器件微放电方面研究; zygnew@stu.xjtu.edu.cn

通讯作者:
李永东(1974－), 男，教授，博士生导师，从事高/大功率微波器件和脉冲功率技术研究; leyond@mail.xjtu.edu.cn

中图分类号: O462.2
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出版历程
- 收稿日期: 2017-12-28
- 修回日期: 2018-03-04
- 刊出日期: 2018-07-15

Adaptive scanning method for multipactor threshold prediction in microwave devices

Key Laboratory for Physical Electronics and Devices of the Ministry of Education, Xi'an Jiaotong University, Xi'an 710049, China

摘要

摘要: 传统的粒子模拟软件在获得微放电阈值时需要进行多次微放电模拟，而且不具备自动功率扫描功能，在不考虑电子运动所产生的自洽场的情况下，提出了一种微波器件微放电阈值功率自适应扫描方法，对同一微波器件中的电磁场只计算一次并重复利用，改变输入功率，获得不同功率下的粒子数目变化的趋势，结合阈值功率判断方法，进而能够快速获得微放电阈值。首先，采用MSAT粒子模拟软件计算单位功率下微波部件中的电磁场分布，接着利用蛙跳法求解粒子运动轨迹，然后结合二次电子发射模型确定出射粒子数目。在微放电模拟过程中对粒子数目曲线进行分析，建立微放电阈值判据方法，根据二分法改变输入功率使得粒子模拟软件在给定初始功率后自动给出微放电阈值。以微波阶梯阻抗变换器与同轴腔体滤波器为研究对象，采用该方法分别计算其微放电阈值并与实验结果进行对比，结果表明，该方法具有准确性。
- 微放电阈值 /
- 粒子模拟 /
- 二分法 /
- 阈值判据
Abstract: Without the power scanning function, the traditional Particle-in-Cell simulation software needs to perform many times in order to achieve multipactor threshold prediction. Therefore, an adaptive scanning method is proposed without considering the self-consistent field generated by electrons. Under the effect of the electromagnetic field distribution calculated by MSAT, the electron motion is tracked and updated with leapfrog algorithm. Secondary electrons are released once electrons reach the boundaries of the simulation region. The criterion for determining multipactor occurrence is established according to the particle number curve via the multipactor simulation. Meanwhile, the power input is adaptively adjusted by the bisection method so that the multipactor threshold can be automatically determined with a given initial power. For verification, multipactor thresholds of stepped impedance transformer and coaxial cavity filters obtained with adaptive-scanning method are compared with experiments. And the simulation results accord well with the experimental data.
- multipactor threshold /
- Particle-in-Cell /
- bisection method /
- threshold criterion

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图 1 微放电阈值功率自适应扫描方法计算流程图

Figure 1. Flow diagram of adaptive scanning method for multipactor threshold prediction

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图 2 粒子数目曲线拟合

Figure 2. Transient evolution of the total particle numbers

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图 3 阶梯阻抗变换器的几何结构图

Figure 3. Model of stepped impedance transformer

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图 4 微放电阈值功率自适应扫描过程

Figure 4. Adaptive scanning process of threshold power

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图 5 同轴腔体滤波器

Figure 5. Model of coaxial cavity filter

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图 6 同轴腔体滤波器阈值结果

Figure 6. Calculation results of coaxial cavity filter

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表 1 阻抗变换器几何参数(单位：mm)

Table 1. Parameters of stepped impedance transformer(unit: mm)

a₀	a₁	a₂	a₃	b₀
218.6	160.16	98.16	50.16	29.08

b₁	b₂	b₃	b₄
19	12	3	1

下载: 导出CSV

表 2 同轴腔体滤波器几何参数(单位：mm)

Table 2. Geometric parameters of coaxial cavity filter(unit: mm)

a₀	a₁	a₂	a₃	a₄	a₅	a₆
240	5	12	226.3	225	80	127

下载: 导出CSV

参考文献(18)

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