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

被引：0

作者：

Gomez, Jason ^{[1
]}

Akash ^{[2
]}

Nukala, Suguna Sree ^{[2
,5
]}

Gope, Dipanjan ^{[2
]}

Hansen, Jan ^{[3
,4
]}

机构：

[1] Indian Inst Technol, Mumbai, Maharashtra, India

[2] Indian Inst Sci IISc, Dept Elect Commun Engn, Bangalore, Karnataka, India

[3] Inst Elect, Inffeldgasse 12-1, A-8010 Graz, Austria

[4] Graz Univ Technol, Silicon Austria Labs, SAL GEMC Lab, A-8010 Graz, Austria

[5] DRDO, Def Bioengn & Electromed Lab DEBEL, Bangalore, Karnataka, India

来源：

IEEE ELECTRICAL DESIGN OF ADVANCED PACKAGING AND SYSTEMS, EDAPS 2023 | 2023年

关键词：

power electronics; silicon carbide; gallium nitride; electromagnetic interference; multi-objective optimization; electromagnetic compatibility (EMC);

D O I：

10.1109/EDAPS58880.2023.10468334

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页数：3

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