GA‐based optimisation of the interaction structure of an X‐band helix travelling wave tube

Abstract

Genetic algorithm (GA) has been adopted for the optimisation of the slow wave structure (SWS) of an X‐band helix travelling wave tube. To reduce the optimisation time and to achieve the desired performance, a software code based on GA has been developed to automate the optimisation process of the helix SWS. A two‐section SWS has been optimised. The pitches and the lengths of all the subsections have been considered with the objective of achieving the desired saturated output power and the saturated gain over the operating frequency range. The procedure for the implementation of the GA has been demonstrated. Multiple trials have been conducted for achieving the most optimal set of parameters. The cost over several generations for all the trials is presented and the optimised values of the saturated output power and the saturated gain are also shown.

Transmit Beamforming for Phased Array Based on Constrained Wind‐Driven Optimization Method

“…Two examples are chosen to test performance of the proposed transmit beamform pattern design method. In Example 1, a transmit beamforming method without constraints is chosen to verify the importance of constraint violation, which is realized by WDO (Bayraktar et al, 2013), and other high‐performance algorithms, such as PSO (Sandre‐Hernandez et al, 2015) and genetic optimization (GA) (Narasimhan et al, 2018). Example 2 is realized to illustrate behavior of proposed solution.…”