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Hybrid particle swarm optimization‐grey wolf optimization based small‐signal modeling applied to GaN devices.

Authors :
Abushawish, Abdallah
Jarndal, Anwar
Source :
International Journal of RF & Microwave Computer-Aided Engineering. May2022, Vol. 32 Issue 5, p1-16. 16p.
Publication Year :
2022

Abstract

In this research, four different equivalent circuit models that characterize the substrate/buffer loading effect for GaN high electron mobility transistor (HEMT) on Si substrate have been investigated. Y‐parameter measurements of an open de‐embedded structure have been used to characterize this effect in GaN HEMT on Si. An optimization technique based on hybridization between two meta‐heuristic techniques, which are particle swarm optimization (PSO) and grey wolf optimization (GWO) has been developed to extract physical relevant model elements. The proposed optimization technique is applied on GaN HEMTs of different sizes and validated by means of S‐parameters fitting. In addition, the extracted elements are evaluated in terms of their reliability and scalability. The proposed PSO‐GWO technique shows a very good agreement with previous research results. It has been found that the circuit topology of both resistive and capacitive shunt branches is more accurate in characterizing conductive and displacement substrate/buffer leakage current, respectively. The results of this research validate the applicability of the proposed technique and the model topology for small and large‐signal modeling of GaN transistors on Silicon substrate. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10964290
Volume :
32
Issue :
5
Database :
Academic Search Index
Journal :
International Journal of RF & Microwave Computer-Aided Engineering
Publication Type :
Academic Journal
Accession number :
156083900
Full Text :
https://doi.org/10.1002/mmce.23081