Multi-Objective EMI Optimisation using a Metamodel-based SiC/GaN Converter and NSGA II

Gomez, J and Nukala, SS and Gope, D and Hansen, J and Akash, . (2023) Multi-Objective EMI Optimisation using a Metamodel-based SiC/GaN Converter and NSGA II. In: 2023 IEEE Electrical Design of Advanced Packaging and Systems, EDAPS 2023, 12 December 2023 through 14 December 2023, Hybrid, Rose-Hill.

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Abstract

In Multi-Objective optimization (MOO) many conflicting key performance indicators (KPIs) require a large number of simulations to be carried out to obtain the Pareto fronts. The surrogate model-based approach allows faster model evaluation, easing the burden of MOO. This document presents the MOO of a Kriging-based metamodel of a half bridge circuit combined with an electromagnetic interference (EMI) filter using non-dominated sorting genetic algorithm II (NSGA-II) to comply with EMC limits. Out of a total of 14 design parameters which concern both the functional and the EMI design of the system, we study five dimensions in detail and obtain Pareto-optimal designs with a good compromise between fast switching and EMC compliance. © 2023 IEEE.

Item Type:	Conference Paper
Publication:	IEEE Electrical Design of Advanced Packaging and Systems Symposium
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords:	Benchmarking; Electromagnetic pulse; Electromagnetic wave interference; Gallium nitride; Genetic algorithms; III-V semiconductors; Multiobjective optimization; Pareto principle; Power converters; Power electronics; Signal interference; Wide band gap semiconductors, Electromagnetic compatibility; Key performance indicators; Meta model; Multi objective; Multi-objectives optimization; NSGA-II; Optimisations; Pareto front; Power-electronics; Surrogate modeling, Silicon carbide
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	04 Sep 2024 05:55
Last Modified:	04 Sep 2024 05:55
URI:	http://eprints.iisc.ac.in/id/eprint/84981

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