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.
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页数：3
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