DocumentCode :
2373295
Title :
A Multi-Objective Genetic Algorithm for Optimizing Dispersion and Coupling Impedance in Helix TWTs
Author :
Xiao, Liu ; Dong, Yu-he ; Su, Xiao-Bao ; Liu, Pu-Kun
Author_Institution :
Inst. of Electron., Chinese Acad. of Sci.
fYear :
0
fDate :
0-0 0
Firstpage :
445
Lastpage :
446
Abstract :
Optimization techniques have been used in traveling wave tubes design for the slow-wave circuit phase velocity taper and collector stages (Wilson, 2001; Chevalier et al., 2003). In the slow-wave circuit design, the objective function aims to minimize the difference between dispersions versus different frequency, and maximize the on-axis interaction impedance in a specified bandwidth. This is a double-objective optimizing problem. Unfortunately, the objective functions are conflicting. The small difference between dispersions comes with the decrease of interaction impedance. The single-objective optimization, therefore, is not suitable to pose this problem. However, to our knowledge, these multi-objective optimization techniques have not been applied to general slow-wave circuit design until now. The expression of evaluating interaction impedance in the sheath helix model was also presented
Keywords :
dispersion (wave); genetic algorithms; slow wave structures; collector stages; coupling impedance; dispersion optimization; helix TWT; interaction impedance; multi-objective genetic algorithm; sheath helix model; slow-wave circuit phase velocity; taper stage; traveling wave tubes design; Bandwidth; Circuit synthesis; Design optimization; Dielectrics; Educational institutions; Electron tubes; Frequency; Genetic algorithms; Genetic mutations; Impedance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vacuum Electronics Conference, 2006 held Jointly with 2006 IEEE International Vacuum Electron Sources., IEEE International
Conference_Location :
Monterey, CA
Print_ISBN :
1-4244-0108-9
Type :
conf
DOI :
10.1109/IVELEC.2006.1666374
Filename :
1666374
Link To Document :
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