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# *motulator:* Motor Drive Simulator in Python
# *motulator:* Motor Drive and Grid Converter Simulator in Python
[![DOI](https://zenodo.org/badge/377399301.svg)](https://zenodo.org/doi/10.5281/zenodo.10223090)
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Introduction
------------
This open-source software includes simulation models for an induction motor, a synchronous reluctance motor, and a permanent-magnet synchronous motor. The motor 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:
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/

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Usage
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The drive system, controller, reference sequences etc. are easy to configure. As a starting point, example scripts and Jupyter notebooks can be downloaded here:
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/auto_examples/index.html

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