motulator: Motor Drive Simulator in Python

Lauri Tiitinen; Hannu Hartikainen; Luca Peretti; Marko Hinkkanen

doi:10.1109/IEMDC55163.2023.10238938

motulator: Motor Drive Simulator in Python

Lauri Tiitinen, Hannu Hartikainen, Luca Peretti, Marko Hinkkanen

KTH Royal Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

3 Citations (Scopus)

232 Downloads (Pure)

Abstract

This paper deals with the time-domain simulation of electric machine drives in Python. Python offers a full-featured numerical computing environment, comparable to leading commercially available alternatives, whilst being fully open-source. Adopting the open-source ecosystem allows electric drives researchers to utilize new methods from other fields, easily share their findings, and improve collaboration with other researchers both in academia and industry. For this purpose, we have launched the Python-based time-domain simulation platform motulator for electric drives. To learn more, the reader is encouraged to visit the GitHub page of the project: https://github.com/Aalto-Electric-Drives/motulator.

Original language	English
Title of host publication	2023 IEEE International Electric Machines and Drives Conference, IEMDC 2023
Publisher	IEEE
Number of pages	7
ISBN (Electronic)	979-8-3503-9899-1
DOIs	https://doi.org/10.1109/IEMDC55163.2023.10238938
Publication status	Published - 6 Sept 2023
MoE publication type	A4 Conference publication
Event	IEEE International Electric Machines and Drives Conference - San Francisco, United States Duration: 15 May 2023 → 18 May 2023

Conference

Conference	IEEE International Electric Machines and Drives Conference
Abbreviated title	IEMDC
Country/Territory	United States
City	San Francisco
Period	15/05/2023 → 18/05/2023

Access to Document

10.1109/IEMDC55163.2023.10238938

IEMDC_motulator_fullpaper_finalAccepted author manuscript, 1.27 MBLicence: CC BY

Cite this

@inproceedings{4ced2a5ef6f04ca2a830bb266fa133f2,

title = "motulator: Motor Drive Simulator in Python",

abstract = "This paper deals with the time-domain simulation of electric machine drives in Python. Python offers a full-featured numerical computing environment, comparable to leading commercially available alternatives, whilst being fully open-source. Adopting the open-source ecosystem allows electric drives researchers to utilize new methods from other fields, easily share their findings, and improve collaboration with other researchers both in academia and industry. For this purpose, we have launched the Python-based time-domain simulation platform motulator for electric drives. To learn more, the reader is encouraged to visit the GitHub page of the project: https://github.com/Aalto-Electric-Drives/motulator.",

author = "Lauri Tiitinen and Hannu Hartikainen and Luca Peretti and Marko Hinkkanen",

year = "2023",

month = sep,

day = "6",

doi = "10.1109/IEMDC55163.2023.10238938",

language = "English",

booktitle = "2023 IEEE International Electric Machines and Drives Conference, IEMDC 2023",

publisher = "IEEE",

address = "United States",

note = "IEEE International Electric Machines and Drives Conference, IEMDC ; Conference date: 15-05-2023 Through 18-05-2023",

}

TY - GEN

T1 - motulator: Motor Drive Simulator in Python

AU - Tiitinen, Lauri

AU - Hartikainen, Hannu

AU - Peretti, Luca

AU - Hinkkanen, Marko

PY - 2023/9/6

Y1 - 2023/9/6

N2 - This paper deals with the time-domain simulation of electric machine drives in Python. Python offers a full-featured numerical computing environment, comparable to leading commercially available alternatives, whilst being fully open-source. Adopting the open-source ecosystem allows electric drives researchers to utilize new methods from other fields, easily share their findings, and improve collaboration with other researchers both in academia and industry. For this purpose, we have launched the Python-based time-domain simulation platform motulator for electric drives. To learn more, the reader is encouraged to visit the GitHub page of the project: https://github.com/Aalto-Electric-Drives/motulator.

AB - This paper deals with the time-domain simulation of electric machine drives in Python. Python offers a full-featured numerical computing environment, comparable to leading commercially available alternatives, whilst being fully open-source. Adopting the open-source ecosystem allows electric drives researchers to utilize new methods from other fields, easily share their findings, and improve collaboration with other researchers both in academia and industry. For this purpose, we have launched the Python-based time-domain simulation platform motulator for electric drives. To learn more, the reader is encouraged to visit the GitHub page of the project: https://github.com/Aalto-Electric-Drives/motulator.

UR - http://www.scopus.com/inward/record.url?scp=85172721304&partnerID=8YFLogxK

U2 - 10.1109/IEMDC55163.2023.10238938

DO - 10.1109/IEMDC55163.2023.10238938

M3 - Conference article in proceedings

BT - 2023 IEEE International Electric Machines and Drives Conference, IEMDC 2023

PB - IEEE

T2 - IEEE International Electric Machines and Drives Conference

Y2 - 15 May 2023 through 18 May 2023

ER -

motulator: Motor Drive Simulator in Python

Abstract

Conference

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Aalto-Electric-Drives/motulator: v0.5.0

-: High-Speed Electromechanical Energy Conversion Systems

Cite this

motulator: Motor Drive Simulator in Python

Abstract

Conference

Access to Document

Other files and links

Fingerprint

Datasets

Aalto-Electric-Drives/motulator: v0.5.0

Projects

-: High-Speed Electromechanical Energy Conversion Systems

Cite this