基于WMQPSO算法的慢波结构优化设计  

Design of Slow-Wave Structure Based on Multi-Objective Quantum Particle Swarm Optimization Algorithm with Inertia Weight

作　　者：张新颖[1] 唐康淞[2] 李实[2] 夏克文[1] 赵东明[1] 

机构地区：[1]河北工业大学信息工程学院,天津300401 [2]中国科学院电子学研究所微波器件中心,北京100080

出　　处：《真空科学与技术学报》2010年第6期651-656,共6页Chinese Journal of Vacuum Science and Technology

基　　金：国家自然科学基金项目(资助号:60673087;60377020)

摘　　要：本文首次将带惯性权重的多目标量子粒子群(WMQPSO)算法应用到空间行波管慢波结构优化中。仅以提高电子效率为目标优化时,电子效率提高了6%,但非线性相移变大;以提高电子效率和减小非线性失真为目标时,电子效率提高了约3%,同时非线性相移降低了15°。实验结果表明,联合优化有效地改善了电子效率和非线性相位失真,优化结果显著。A novel technique—the multi-objective quantum particle swarm optimization algorithm with inertia weight（WMQPSO）—was successfully developed and applied to the design of the slow-wave structure of the space traveling wave tube（TWT）.When it comes to the enhancement of the electron efficiency only,an efficiency of 6% can be obtained at the expense of a serious nonlinear phase-shift.When both the electron efficiency enhancement and the nonlinear phase-shift reduction were taken into considerations,the electron efficiency increased by 3% and the nonlinear phase-shift simultaneously decreased by 15°.The experimental results show that the newly-developed technique significantly improves the electron efficiency,and minimizes the nonlinear phase-shift.

关 键 词：慢波结构 电子效率 非线性相位失真 WMQPSO算法 空间行波管 

分 类 号：TN124[电子电信—物理电子学]