基于PFN-Marx的准方波脉冲源的波形优化研究

江进波; 任应杰; 李毅; 张家兴; 赵鑫; 徐林; 欧阳善川

doi:10.11884/HPLPB202537.240315

基于PFN-Marx的准方波脉冲源的波形优化研究

doi: 10.11884/HPLPB202537.240315

1.
三峡大学电气与新能源学院，湖北宜昌 443002
2.
中国葛洲坝集团勘测设计有限公司，武汉 430000
3.
湖南云箭集团有限公司，长沙 410100

基金项目: 国家自然科学基金项目(51707105); 强脉冲辐射环境模拟与效应全国重点实验室开放基金项目(SKLIPR2008)

详细信息

作者简介:
江进波，jinbojiang@163.com

中图分类号: TM89
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- 被引次数: 0
出版历程
- 收稿日期: 2024-09-07
- 修回日期: 2024-11-19
- 录用日期: 2024-11-19
- 网络出版日期: 2024-11-29

Research on waveform optimization for quasi-square wave pulse source based on PFN-Marx

1.
College of Engineering and New Energy, China Three Gorges University, Yichang 443002, China
2.
China Gezhouba Group Survey and Design Co., Ltd., Wuhan 430000, China
3.
Hunan Yunjian Group Co., Ltd., Changsha 410000, China

摘要

摘要: 脉冲功率驱动源是高功率微波技术的关键部分，其输出波形质量直接影响高功率微波器件的输出，针对脉冲功率驱动源输出波形平顶存在的振荡问题，设计并研制了一套基于PFN-Marx的紧凑化脉冲功率驱动源并进行波形优化，通过PSpice仿真分析了不同结构的PFN-Marx发生器的参数，从而确定了PFN-Marx发生器的节数与级数；将输出波形存在的振荡问题转化为波形平顶区域各极值点距离基准值的偏移程度，以平顶纹波误差最小为目标，以均方根误差构建目标函数，在Simulink中建立电路模型，结合MATLAB遗传算法，对PFN的电感进行不断迭代优化，最后确定一组最优值，重新设计电感结构，使其可以方便快捷调整电感值，以此实现波形优化。优化后的单级PFN在10 Ω负载上输出波形前沿24.4 ns，脉宽93.6 ns，其平顶性能良好。装配完成的7级PFN-Marx发生器在充电电压53.8 kV、负载阻抗75 Ω条件下，输出准方波波形的峰值为189.2 kV，脉宽93.2 ns，前沿8.4 ns，后沿33.6 ns，纹波系数为3.5%。
- 脉冲功率 /
- PFN-Marx /
- 遗传算法 /
- 电感调节 /
- 波形优化
Abstract: Pulsed power drive source is a key part of high power microwave technology. The quality of the output waveform of pulsed power drive source directly affects the output of high power microwave devices. Aiming at the oscillation problem of the flat-top output waveform of pulse power drive source, we designed and developed a compact pulsed power drive source based on PFN-Marx, and optimized the waveform. The parameters of PFN-Marx generators with different structures are analyzed by PSpice simulation, so as to determine the number of sections and levels of the PFN-Marx generator; the oscillation problem of the output waveform is converted into the degree of deviation of each extreme point from the reference value in the flat-top area of the waveform. The objective function is constructed with the root mean square error with the minimum flat-top ripple error as the goal, and the circuit model is established in Simulink. Combined with the MATLAB genetic algorithm, the inductance of the PFN is continuously iteratively optimized. Finally, a set of optimal values is determined, and the inductance structure is redesigned to adjust the inductance value conveniently and to achieve quick waveform optimization. The optimized single-stage PFN outputs a waveform with a leading edge of 24.4 ns and a pulse width of 93.6 ns on a 10 Ω load, and it has good flat-top performance. The assembled 7-stage PFN-Marx generator has an output quasi-square wave under a charging voltage of 53.8 kV and a load impedance of 75 Ω. The pulse peak amplitude is 189.2 kV, pulse width is 93.2 ns, rise time is 8.4 ns, decrease time is 33.6 ns, and the ripple coefficient is 3.5%.
- pulsed power /
- PFN-Marx /
- genetic algorithm /
- inductance regulation /
- waveform optimization

HTML全文

图 1 PFN-Marx电路原理图

Figure 1. Schematic of PFN-Marx circuit

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图 2 5种不同结构的PFN-Marx发生器输出波形

Figure 2. Output waveforms of PFN-Marx generators with 5 different structures

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图 3 单级6节PFN仿真电路图

Figure 3. Diagram of single stage 6-section PFN simulation circuit

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图 4 单级6节PFN仿真输出波形

Figure 4. Single stage 6-section PFN simulation output waveform

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图 5 遗传算法流程图

Figure 5. Genetic algorithm flowchart

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图 6 优化前与优化后的输出波形

Figure 6. Output waveform before and after optimization

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图 7 7级PFN-Marx发生器仿真波形

Figure 7. Simulation waveform of 7-stage PFN Marx generator

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图 8 单级PFN实验平台及输出波形

Figure 8. Single stage PFN experimental platform and output waveform

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图 9 PFN-Marx整体结构

Figure 9. PFN-Marx overall structure

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图 10 PFN-Marx发生器实验装置及实验波形

Figure 10. PFN-Marx generator experimental setup and experimental waveform

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表 1 不同结构的PFN-Marx发生器参数

Table 1. Parameters of PFN-Marx generators with different structures

m	n	charging voltage/kV	single section inductance/nH	single section capacitor/pF	number of capacitors	rise time/ns	energy storage/J	ripple coefficient/%
3	3	120.00	350.00	642.86	9	12.85	41.66	11.5
3	8	120.00	131.25	241.07	24	6.27	41.66	10.5
4	6	90.00	131.25	428.57	28	7.53	41.66	10.7
5	5	72.00	126.00	642.86	42	8.50	41.66	10.9
7	6	51.43	75.00	750.00	42	7.53	41.66	10.7

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表 2 优化后的电感值

Table 2. Optimized inductance values

L₁/nH	L₂/nH	L₃/nH	L₄/nH	L₅/nH	L₆/nH
81.6	76.7	77.1	75.1	75.8	162.9

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