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高功率微波器件的初步优化设计
引用本文:孙会芳,姜幼明,董 烨,李瀚宇,董志伟,周海京.高功率微波器件的初步优化设计[J].太赫兹科学与电子信息学报,2013,11(6):927-931.
作者姓名:孙会芳  姜幼明  董 烨  李瀚宇  董志伟  周海京
作者单位:Institute of Applied Physics and Computational Mathematics,Beijing 100094,China;Institute of Applied Physics and Computational Mathematics,Beijing 100094,China;Institute of Applied Physics and Computational Mathematics,Beijing 100094,China;Institute of Applied Physics and Computational Mathematics,Beijing 100094,China;Institute of Applied Physics and Computational Mathematics,Beijing 100094,China;Institute of Applied Physics and Computational Mathematics,Beijing 100094,China
基金项目:中国工程物理研究院科学技术发展基金资助项目(2011B0402068);国家自然科学基金资助项目(11305015)
摘    要:将遗传算法与全电磁粒子模拟算法有机融合,研制出二维全电磁粒子模拟并行优化程序。据此对高功率微波源器件——磁绝缘线振荡器(MILO)和超辐射返波管(SRBWO)进行优化设计。将束波转换效率作为优化目标,在输入功率基本不变的情况下,优化后的磁绝缘线振荡器的效率比原模型提高38.8%;将超辐射相对论返波管的峰值输出功率作为优化目标,优化后的器件峰值输出功率比原来提高了37.5%,束波转化效率提高了50%;将超辐射相对论返波管的输出微波总能量作为优化目标,输出微波总能量比原来提高了38.1%。经优化后获取的器件模型几何参数合理,物理图像正确。

关 键 词:遗传算法  全电磁粒子模拟程序  高功率微波器件  优化设计
收稿时间:2012/12/24 0:00:00
修稿时间:2013/3/22 0:00:00

Preliminary optimization design of High Power Microwave sources
SUN Hui-fang,JIANG You-ming,DONG Ye,LI Han-yu,DONG Zhi-wei and ZHOU Hai-jing.Preliminary optimization design of High Power Microwave sources[J].Journal of Terahertz Science and Electronic Information Technology,2013,11(6):927-931.
Authors:SUN Hui-fang  JIANG You-ming  DONG Ye  LI Han-yu  DONG Zhi-wei and ZHOU Hai-jing
Affiliation:(Institute of Applied Physics and Computational Mathematics, Beijing 100094, China)
Abstract:A paralleled 2-dimensional optimization code is developed by combining the Genetic Algorithm with Particle-In-Cell(PIC) code in order to improve the design of High Power Microwave(HPM) sources. Two HPM sources--Magnetically Insulated Transmission Line Oscillator(MILO) and Superradiance Relativistic Backward Wave Oscillator(SRBWO)--are optimized by using this optimization code. While the beam-wave conversion efficiency is set as optimization goal, the efficiency of optimized MILO is higher than original one by 38.8% with almost the same input power; while the peak output power is set as optimization goal, the peak output power of SRBWO has increased by 37.5% and the beam-wave conversion efficiency has increased by 50%; while the total energy of output wave is the optimization goal, the total energy of output wave of SRBWO has increased by 35.1%. All optimized models obtain reasonable geometry parameters and exact simulating spectra.
Keywords:genetic algorithm  PIC code  High Power Microwave sources  optimization design
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