102187 20230519145443.0 doi 10.1109/ACCESS.2021.3064190 sideral 124165 ART-2021-124165 eng Llamazares Prieto, Álvaro Universidad de Zaragoza Characterization of parasitic impedance in PCB using a flexible test probe based on a curve-fitting method 2021 Access copy available to the general public Unrestricted Switching in power semiconductors with emerging materials such as silicon carbide (SiC) leads to undesired overvoltages and oscillations that limit switching frequency, largely due to impedance in the current commutation loop. Minimizing this parasitic impedance in printed circuit boards (PCB) requires precise characterization. To this end, this work presents a new measurement method based on obtaining S-parameters with a vector network analyzer (VNA) and on using a shielded flexible probe with mobile test terminals. The flexible probe uses a metal shielding plane perpendicular to the PCB to prevent the main measurement errors resulting from the variation in the magnetic flux responsible for loop inductance during the VNA frequency sweep. The proposed curve-fitting procedure consists of measuring the characteristic impedance and propagation time of the traces, considering they form ideal transmission lines. These values are used for a nonlinear least squares adjustment for the actual line (with losses). Finally, an experimental assembly with microstrip transmission lines was developed to validate the proposed method experimentally. The experimental results were compared with those obtained by using a rigid test fixture as a reference, those calculated analytically and those obtained from partial element equivalent circuit (PEEC) simulation. The curve-fitting method yields better results than the analytical and the simulation methods and they exhibit (up to 350 MHz) precisions of 1.37% in the characteristic impedance measurement and of 0.81% in the propagation time. info:eu-repo/grantAgreement/EC/H2020/783158/EU/first and euRopEAn siC eigTh Inches pilOt liNe/REACTION This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 783158-REACTION info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 3.476 2021 COMPUTER SCIENCE, INFORMATION SYSTEMS 79 / 164 = 0.482 2021 Q2 T2 TELECOMMUNICATIONS 43 / 93 = 0.462 2021 Q2 T2 ENGINEERING, ELECTRICAL & ELECTRONIC 105 / 277 = 0.379 2021 Q2 T2 0.927 2021 Computer Science (miscellaneous) 2021 Q1 Engineering (miscellaneous) 2021 Q1 6.7 2021 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion García-Gracia, Miguel Universidad de Zaragoza (orcid)0000-0002-5727-5705 Martín-Arroyo, Susana Universidad de Zaragoza (orcid)0000-0002-7008-7610 5009 535 Universidad de Zaragoza Dpto. Ingeniería Eléctrica Área Ingeniería Eléctrica 9 (2021), 40695-40705 IEEE Access IEEE Access 2169-3536 1239573 http://zaguan.unizar.es/record/102187/files/texto_completo.pdf Versión publicada 2707886 http://zaguan.unizar.es/record/102187/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:102187 articulos driver 2023-05-18-14:35:16 ARTICLE