motulator: Motor Drive Simulator in Python
2023 (English)In: 2023 IEEE International Electric Machines and Drives Conference, IEMDC 2023, Institute of Electrical and Electronics Engineers (IEEE) , 2023Conference paper, Published paper (Refereed)
Abstract [en]
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.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2023.
Keywords [en]
Control, electric motor drives, open source, power converters, Python, time-domain simulations
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:kth:diva-338034DOI: 10.1109/IEMDC55163.2023.10238938ISI: 001066025700095Scopus ID: 2-s2.0-85172721304OAI: oai:DiVA.org:kth-338034DiVA, id: diva2:1804626
Conference
2023 IEEE International Electric Machines and Drives Conference, IEMDC 2023, San Francisco, United States of America, May 18 2023 - May 15 2023
Note
Part of ISBN 9798350398991
QC 20231013
2023-10-132023-10-132023-11-07Bibliographically approved