Research Article
Rectangular Waveguide Design Optimization by Sequential Nonlinear Programming and Genetic Algorithm
@INPROCEEDINGS{10.1007/978-3-030-32388-2_9, author={Meijiao Lin and Xin Zhang and Yang Li and Zhou Wu}, title={Rectangular Waveguide Design Optimization by Sequential Nonlinear Programming and Genetic Algorithm}, proceedings={Machine Learning and Intelligent Communications. 4th International Conference, MLICOM 2019, Nanjing, China, August 24--25, 2019, Proceedings}, proceedings_a={MLICOM}, year={2019}, month={10}, keywords={Rectangular waveguide Optimal design Sequential nonlinear programming Genetic algorithm}, doi={10.1007/978-3-030-32388-2_9} }- Meijiao Lin
Xin Zhang
Yang Li
Zhou Wu
Year: 2019
Rectangular Waveguide Design Optimization by Sequential Nonlinear Programming and Genetic Algorithm
MLICOM
Springer
DOI: 10.1007/978-3-030-32388-2_9
Abstract
Rectangular waveguide is a common metal waveguide with simple fabrication, low loss and dual polarization. It is often used in antenna feeders requiring dual polarization mode, and also widely used in various resonators and wavelength meters. This paper attempts to design, simulate and optimize rectangular waveguide. By setting the length, width and height of rectangular waveguide, the required rectangular waveguide is designed. The resonant frequency of rectangular waveguide is setting to 9.25 GHz. Moreover, the input return loss is required to be as small as possible. After satisfying the requirements, sequential nonlinear programming and genetic algorithm are used to optimize both voltage standing wave ratio and normalized impedance matching. Simulation results show that the proposed method is able to accomplish the optimal design of rectangular waveguide.
