Thermal Analysis of Electron Gun for Terahertz Traveling Wave Tubes Based on L-BFGS Algorithm

Yue Ou, Wenxin Liu, Longlong Yang, Zhengyuan Zhao, Yanyu Wei, Ziqiang Yang
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引用次数: 1

Abstract

In this article, we propose a classical optimization algorithm named L-BFGS to simulate the thermal behavior of electron gun for terahertz traveling-wave tubes. The L-BFGS algorithm, as a variation of Quasi-Newton optimization method, expert in dealing with the unconstrained optimization problems while keeping the stability of the calculation. Efficiency and accuracy of L-BFGS algorithm are verified by modeling the thermal behavior of an actual electron gun on MATLAB platform successfully with no breakdown. According to the simulation results, this method performs better than some reference methods in terms of computational memory usage and time cost. Our numerical conclusions indicate that it is promising for thermal analysis of electron gun, which would be useful for researchers during the design phase.
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基于L-BFGS算法的太赫兹行波管电子枪热分析
本文提出了一种经典的L-BFGS优化算法来模拟太赫兹行波管电子枪的热行为。L-BFGS算法作为准牛顿优化方法的一种变体,擅长处理无约束优化问题,同时保持计算的稳定性。通过在MATLAB平台上对实际电子枪的热行为进行建模,验证了L-BFGS算法的有效性和准确性。仿真结果表明,该方法在计算内存占用和时间开销方面都优于一些参考方法。数值结果表明,该方法对电子枪的热分析是有前景的,对电子枪的设计有一定的指导意义。
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