A curated list of open technology projects to sustain a stable climate, energy supply, biodiversity and natural resources.

motulator

Simulation models for an induction motor, a synchronous reluctance motor, and a permanent-magnet synchronous motor.
https://github.com/aalto-electric-drives/motulator

Category: Consumption
Sub Category: Mobility and Transportation

Keywords

control-systems converters electric-drives electric-machines electrical-engineering grid-connected induction-motors inverters power-electronics python simulations synchronous-motors

Keywords from Contributors

machine control electric inverter motor power

Last synced: about 14 hours ago
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Repository metadata

Motor Drive and Grid Converter Simulator in Python

README.md

motulator: Motor Drive and Grid Converter Simulator in Python

DOI
Build Status
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PyPI version shields.io
All Contributors

Introduction

This open-source software includes simulation models and controllers for electric machine drives and grid converter systems. The machine models include an induction machine, a synchronous reluctance machine, and a permanent-magnet synchronous machine. Various subsystem models are provided for modeling grid converter systems, such as an LCL filter connected to an inductive-resistive grid.

The system models are simulated in the continuous-time domain while the control algorithms run in discrete time. The default solver is the explicit Runge-Kutta method of order 5(4) from scipy.integrate.solve_ivp. Various control algorithms are provided as examples. The documentation is available here:

https://aalto-electric-drives.github.io/motulator/

Installation

This software can be installed using pip:

pip install motulator

Alternatively, the repository can be cloned:

https://aalto-electric-drives.github.io/motulator/installation.html

Usage

The system models, controllers, reference sequences etc. are easy to configure. As a starting point, example scripts and Jupyter notebooks can be downloaded here:

https://aalto-electric-drives.github.io/motulator/drive_examples/index.html

https://aalto-electric-drives.github.io/motulator/grid_examples/index.html

New system models and controllers can be developed using the existing ones as templates.

Contributing

If you would like to help us develop motulator, please have a look at these guidelines first.

Contributors

Thanks go to these wonderful people:

This project follows the all-contributors specification. Contributions of any kind welcome!

Acknowledgement

This project has been sponsored by ABB Oy and by the Research Council of Finland Centre of Excellence in High-Speed Electromechanical Energy Conversion Systems. The example control methods included in this repository are based on published algorithms (available in textbooks and scientific articles). They do not present any proprietary control software.


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Committers metadata

Last synced: 5 days ago

Total Commits: 422
Total Committers: 14
Avg Commits per committer: 30.143
Development Distribution Score (DDS): 0.445

Commits in past year: 108
Committers in past year: 9
Avg Commits per committer in past year: 12.0
Development Distribution Score (DDS) in past year: 0.333

Name Email Commits
Marko Hinkkanen 7****n 234
mhinkkan m****n@a****i 63
Joona k****o@g****m 55
allcontributors[bot] 4****] 28
lauritapio l****n@a****i 13
Lauri Tiitinen 8****o 12
saarela t****a@g****m 3
JoonaKukkonen 8****n 3
Juho Määttä 1****1 3
silundbe s****e@k****e 2
Cosimo Bassi 6****a 2
Francesco-Lelli 1****i 2
HannuHar 9****r 1
angelicaiaderosa 1****a 1

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Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 11
Total pull requests: 183
Average time to close issues: 22 days
Average time to close pull requests: 2 days
Total issue authors: 8
Total pull request authors: 15
Average comments per issue: 2.0
Average comments per pull request: 0.5
Merged pull request: 153
Bot issues: 0
Bot pull requests: 33

Past year issues: 4
Past year pull requests: 74
Past year average time to close issues: N/A
Past year average time to close pull requests: about 13 hours
Past year issue authors: 2
Past year pull request authors: 6
Past year average comments per issue: 0.5
Past year average comments per pull request: 0.39
Past year merged pull request: 55
Past year bot issues: 0
Past year bot pull requests: 5

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/aalto-electric-drives/motulator

Top Issue Authors

  • cusma (3)
  • murgui (2)
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  • ax-anoop (1)
  • amrudesh-santhanam (1)
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  • jmaravin (1)
  • Jialed0303 (1)

Top Pull Request Authors

  • mhinkkan (100)
  • allcontributors[bot] (33)
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  • cusma (4)
  • MiSaren (4)
  • saarela (3)
  • Francesco-Lelli (3)
  • Jialed0303 (3)
  • silundbe (2)
  • UshnishChowdhury (1)
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  • iam-nithin-10 (1)
  • HannuHar (1)

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Package metadata

proxy.golang.org: github.com/aalto-electric-drives/motulator

proxy.golang.org: github.com/Aalto-Electric-Drives/motulator

pypi.org: motulator

Motor Drive and Grid Converter Simulator in Python

  • Homepage: https://github.com/Aalto-Electric-Drives/motulator
  • Documentation: https://Aalto-Electric-Drives.github.io/motulator/
  • Licenses: MIT License
  • Latest release: 0.6.0 (published 2 days ago)
  • Last Synced: 2025-04-24T21:31:55.374Z (2 days ago)
  • Versions: 21
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 844 Last month
  • Rankings:
    • Dependent packages count: 6.633%
    • Forks count: 7.127%
    • Stargazers count: 7.676%
    • Average: 14.677%
    • Downloads: 21.337%
    • Dependent repos count: 30.611%
  • Maintainers (1)

Dependencies

.github/workflows/python-publish.yml actions
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  • actions/setup-python v4 composite
.github/workflows/update_gh-pages.yml actions
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docs/requirements.txt pypi
  • Sphinx ==5.3.0
  • matplotlib *
  • numpy *
  • numpydoc *
  • scipy *
  • sphinx-autoapi *
  • sphinx-copybutton *
  • sphinx-gallery *
  • sphinx-rtd-theme *
requirements.txt pypi
  • matplotlib *
  • numpy *
  • scipy *
pyproject.toml pypi
requirements-dev.txt pypi
  • ipykernel * development
  • pylint * development
  • toml * development
  • yapf * development

Score: 14.440988989999399