Performance Improvement of Helix Traveling- Wave Tubes Based on Multiobjective Optimization Technique

An optimization design tool for helix traveling-wave tubes (TWTs) is developed by combining the nondominated sorting genetic algorithm II (NSGA-II) and the beam-wave interaction simulator (BWIS), which can realize multiobjective optimization of various TWT figures of merit (FoMs). FoMs include the o...

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Bibliographic Details
Published in:IEEE transactions on electron devices 2023-06, Vol.70 (6), p.2840-2845
Main Authors: Deng, Wen-Kai, Hu, Yu-Lu, Li, Gu-Bin, Yang, Zhong-Hai, Li, Bin, Huang, Tao
Format: Article
Language:English
Subjects:
Beam-wave interaction simulator (BWIS)
Design optimization
Design tools
Electrons
Genetic algorithms
helix circuit pitch
multiobjective optimization
Multiple objective analysis
nondominated sorting genetic algorithm II (NSGA-II)
Nonlinear distortion
Optimization
Optimization techniques
Pareto optimization
Pareto optimum
Phase distortion
Power generation
Simulation
Sociology
Sorting algorithms
Statistics
Traveling wave tubes
Traveling waves
traveling-wave tubes (TWTs)
Wave interaction
Workflow
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Summary:An optimization design tool for helix traveling-wave tubes (TWTs) is developed by combining the nondominated sorting genetic algorithm II (NSGA-II) and the beam-wave interaction simulator (BWIS), which can realize multiobjective optimization of various TWT figures of merit (FoMs). FoMs include the output power, gain, efficiency, and nonlinear distortion characteristics. This optimization design tool can automatically construct a Pareto-optimal solution set according to FoMs. Then, the final simulation design can be obtained by analyzing the output power variation over the operating band of the individuals in the optimized solution set. In order to ensure the comprehensiveness and accuracy of FoMs, a workflow is established in the optimization tool, which can simulate the physical process by transferring the data between different computing tasks automatically during the design of beam-wave interaction. Based on this design tool, the performance of an L-band helix TWT has been improved significantly. For the demonstrated interaction, the output power, phase distortion, interaction, and recovery efficiency are taken as objectives. After analyzing the output power variation over the operating band, the final parameter set is determined from the Pareto-optimal solution set.
ISSN:0018-9383
1557-9646
DOI:10.1109/TED.2022.3207711