Python-LTSpice Framework for Multi-Objective EMC Filter Optimization

Herbert Hackl; Martin Stoiber; Bernhard Auinger; Thomas Zengerle; Franz Konigseder; Jan Hansen

doi:10.1109/EMCEurope57790.2023.10274317

Python-LTSpice Framework for Multi-Objective EMC Filter Optimization

Herbert Hackl^*, Martin Stoiber, Bernhard Auinger, Thomas Zengerle, Franz Konigseder, Jan Hansen

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Abstract

EMC filters should ensure that a device complies with respective regulations, but at the same time should be as small and cheap as possible. Besides the compliance with EMI limits, all used filter components also need to withstand the rated current and voltage of the specific application. For real products this constitutes a discrete valued optimization task, as components and especially common-mode chokes (CMC) are usually not available in all sizes. This work proposes the application of a sorting genetic algorithm (NSGA-II) for described optimization problem. The presented workflow builds on freely available tools, namely LTSpice for circuit simulation and the Python libraries PyLTSpice and pymoo. For demonstration, a commercially available EMC filter design kit is used. From 696 possible component combinations the optimal common-mode (CM) filter for a frequency range of 9 kHz - 100 MHz is found, considering price, volume, ampacity and PCB parasitics.

Original language	English
Title of host publication	2023 International Symposium on Electromagnetic Compatibility - EMC Europe, EMC Europe 2023
Publisher	Institute of Electrical and Electronics Engineers
ISBN (Electronic)	9798350324006
DOIs	https://doi.org/10.1109/EMCEurope57790.2023.10274317
Publication status	Published - 2023
Event	2023 International Symposium and Exhibition on Electromagnetic Compatibility: EMC Europe 2023 - Kraków, Poland Duration: 4 Sept 2023 → 8 Sept 2023

Conference

Conference	2023 International Symposium and Exhibition on Electromagnetic Compatibility
Abbreviated title	EMC Europe 2023
Country/Territory	Poland
City	Kraków
Period	4/09/23 → 8/09/23

Keywords

Black Box Problem
Discrete Optimization
EMI Filter
LTSpice
NSGA-II
PyLTSpice
pymoo
Python

ASJC Scopus subject areas

Condensed Matter Physics
Electrical and Electronic Engineering

Access to Document

10.1109/EMCEurope57790.2023.10274317

Cite this

Python-LTSpice Framework for Multi-Objective EMC Filter Optimization. / Hackl, Herbert; Stoiber, Martin; Auinger, Bernhard et al.
2023 International Symposium on Electromagnetic Compatibility - EMC Europe, EMC Europe 2023. Institute of Electrical and Electronics Engineers, 2023.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Hackl, H, Stoiber, M, Auinger, B, Zengerle, T, Konigseder, F & Hansen, J 2023, Python-LTSpice Framework for Multi-Objective EMC Filter Optimization. in 2023 International Symposium on Electromagnetic Compatibility - EMC Europe, EMC Europe 2023. Institute of Electrical and Electronics Engineers, 2023 International Symposium and Exhibition on Electromagnetic Compatibility, Kraków, Poland, 4/09/23. https://doi.org/10.1109/EMCEurope57790.2023.10274317

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title = "Python-LTSpice Framework for Multi-Objective EMC Filter Optimization",

abstract = "EMC filters should ensure that a device complies with respective regulations, but at the same time should be as small and cheap as possible. Besides the compliance with EMI limits, all used filter components also need to withstand the rated current and voltage of the specific application. For real products this constitutes a discrete valued optimization task, as components and especially common-mode chokes (CMC) are usually not available in all sizes. This work proposes the application of a sorting genetic algorithm (NSGA-II) for described optimization problem. The presented workflow builds on freely available tools, namely LTSpice for circuit simulation and the Python libraries PyLTSpice and pymoo. For demonstration, a commercially available EMC filter design kit is used. From 696 possible component combinations the optimal common-mode (CM) filter for a frequency range of 9 kHz - 100 MHz is found, considering price, volume, ampacity and PCB parasitics.",

keywords = "Black Box Problem, Discrete Optimization, EMI Filter, LTSpice, NSGA-II, PyLTSpice, pymoo, Python",

author = "Herbert Hackl and Martin Stoiber and Bernhard Auinger and Thomas Zengerle and Franz Konigseder and Jan Hansen",

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doi = "10.1109/EMCEurope57790.2023.10274317",

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AU - Zengerle, Thomas

AU - Konigseder, Franz

AU - Hansen, Jan

PY - 2023

Y1 - 2023

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AB - EMC filters should ensure that a device complies with respective regulations, but at the same time should be as small and cheap as possible. Besides the compliance with EMI limits, all used filter components also need to withstand the rated current and voltage of the specific application. For real products this constitutes a discrete valued optimization task, as components and especially common-mode chokes (CMC) are usually not available in all sizes. This work proposes the application of a sorting genetic algorithm (NSGA-II) for described optimization problem. The presented workflow builds on freely available tools, namely LTSpice for circuit simulation and the Python libraries PyLTSpice and pymoo. For demonstration, a commercially available EMC filter design kit is used. From 696 possible component combinations the optimal common-mode (CM) filter for a frequency range of 9 kHz - 100 MHz is found, considering price, volume, ampacity and PCB parasitics.

KW - Black Box Problem

KW - Discrete Optimization

KW - EMI Filter

KW - LTSpice

KW - NSGA-II

KW - PyLTSpice

KW - pymoo

KW - Python

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PB - Institute of Electrical and Electronics Engineers

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ER -

Python-LTSpice Framework for Multi-Objective EMC Filter Optimization

Abstract

Conference

Keywords

ASJC Scopus subject areas

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