利用先进的优化算法提高板梁行波管的效率

Zeng Liu, Jianxun Wang, Yixin Wan, Qiang Liu, Yong Luo
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引用次数: 1

摘要

交错双叶片(SDV)结构的片束行波管(SBTWT)作为板波段和强大的太赫兹和毫米波源受到了广泛的关注。为了提高片波束行波管的波束相互作用效率,本文采用一种基于群体智能(SI)的蜻蜓算法(DA)对SDV结构的速度锥度进行优化。将该算法的优化结果与其他常用算法进行了比较。用CST粒子池(PIC)模拟验证了DA优化后的锥度。优化后的结构在优化和PIC仿真中都大大提高了效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhance the Efficiency of Sheet Beam TWT with Advanced Optimization Algorithm
The sheet beam traveling-wave tube (SBTWT) with staggered double vane (SDV) structure has attracted much attention as a board band and powerful terahertz and millimeter-wave source. In this paper, the velocity taper for SDV structure is optimized with a recently proposed swarm-intelligence (SI) based optimization algorithm named dragonfly algorithm (DA) in order to enhance the beam-wave interaction efficiency in sheet beam TWT. The optimization result of this algorithm is compared with other commonly used algorithms. The taper optimized with DA is verified with CST particle in cell (PIC) simulations. The efficiency of the optimized structure has been greatly increased in both optimization and PIC simulations.
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