Narasimhan, P and Pareek, N and Ghosh, SK
(2019)
Automated Design of Slow Wave Structure of a Helix TWT using Multi-Objective NSGA-II Optimization Algorithm.
In: National Symposium on Vacuum Electronic Devices and Applications (VEDA-2019), November 21-23, 2019, NIT, Patna, India.
Abstract
In this paper, the design of the slow wave structure (SWS) of a helix traveling wave tube (TWT) using a meta-heuristic optimization algorithm has been presented. The
design of the SWS using the large signal model (LSM)-based one-dimensional code, SUNRAY-1D, has been carried out as a multi-objective, multi-parameter global optimization problem. The non-dominated sorting genetic algorithm - II (NSGA-II) has been employed for optimization. In this automated optimization approach, the multiple pitches, lengths and the coating loss values in the various sections of a 2-section helix SWS have been optimized to meet the three objectives, namely,
the required saturated output power, saturated gain and the 20-dB phase shift over the frequency range of 10.5-12.5 GHz. The Pareto-optimal front showing all the non-dominated solutions has been shown. The optimized parameter set and the corresponding output power, saturated gain and the 20-dB phase shift have also been shown.
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