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Journal of Computational Electronics

, Volume 18, Issue 4, pp 1272–1279 | Cite as

A particle swarm neural networks electrothermal modeling approach applied to GaN HEMTs

  • Anwar H. JarndalEmail author
  • Sanaa Muhaureq
Article
  • 36 Downloads

Abstract

This paper presents a simple approach to model the self-heating effect in GaN high electron mobility transistors (HEMTs) using a particle swarm neural network and also reports the extraction procedure of the model parameters. The main advantage of the developed method is its simplicity of construction and implementation in computer-aided-design tools. The developed modeling procedure is applied to a packaged GaN HEMT and validated by DC and AC small/large-signal simulations, which showed a very good agreement with the measurements.

Keywords

GaN HEMTs Large-signal modeling Neural networks modeling Particle swarm optimization 

Notes

Acknowledgement

The authors thankfully acknowledge the support from the University of Sharjah, United Arab Emirates.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Electrical and Computer Engineering DepartmentUniversity of SharjahSharjahUnited Arab Emirates

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