CAJ | 학술논문

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。
장유전산법여전전자입자모의산법유궤융합，연제출이유전전자입자모의병행우화정서。거차대고공솔미파원기건--자절연선진탕기(MILO)화초복사반파관(SRBWO)진행우화설계。장속파전환효솔작위우화목표，재수입공솔기본불변적정황하，우화후적자절연선진탕기적효솔비원모형제고38.8%；장초복사상대론반파관적봉치수출공솔작위우화목표，우화후적기건봉치수출공솔비원래제고료37.5%，속파전화효솔제고료50%；장초복사상대론반파관적수출미파총능량작위우화목표，수출미파총능량비원래제고료38.1%。경우화후획취적기건모형궤하삼수합리，물리도상정학。
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 38.1%. All optimized models obtain reasonable geometry parameters and exact simulating spectra.