EMC Component Modeling and System-Level Simulations of Power Converters: AC Motor Drives

Bernhard Wunsch, Stanislav Skibin, Ville Forsström and Ivica Stevanovic
Additional contact information
Bernhard Wunsch: ABB Research Switzerland, 5405 Baden, Switzerland
Stanislav Skibin: ABB Research Switzerland, 5405 Baden, Switzerland
Ville Forsström: ABB Oy Drives, 00381 Helsinki, Finland
Ivica Stevanovic: Federal Office of Communications OFCOM, 2501 Biel/Bienne, Switzerland

Energies, 2021, vol. 14, issue 6, 1-22

Abstract: EMC simulations are an indispensable tool to analyze EMC noise propagation in power converters and to assess the best filtering options. In this paper, we first show how to set up EMC simulations of power converters and then we demonstrate their use on the example of an industrial AC motor drive. Broadband models of key power converter components are reviewed and combined into a circuit model of the complete power converter setup enabling detailed EMC analysis. The approach is demonstrated by analyzing the conducted noise emissions of a 75 kW power converter driving a 45 kW motor. Based on the simulations, the critical impedances, the dominant noise propagation, and the most efficient filter component and location within the system are identified. For the analyzed system, maxima of EMC noise are caused by resonances of the long motor cable and can be accurately predicted as functions of type, length, and layout of the motor cable. The common-mode noise at the LISN is shown to have a dominant contribution caused by magnetic coupling between the noisy motor side and the AC input side of the drive. All the predictions are validated by measurements and highlight the benefit of simulation-based EMC analysis and filter design.

Keywords: electromagnetic compatibility (EMC); electromagnetic interference (EMI) filter; SPICE simulations; AC drives; conducted noise emissions; EMC filter; transmission line; power cable; chokes (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/14/6/1568/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/6/1568/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:6:p:1568-:d:515567

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().