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fixed the sentance about the gem control integration and changed the …
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…writing of voltage sources.

Ehance the discription of the fixes in the changelog
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bhk11 committed Nov 14, 2024
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10 changes: 5 additions & 5 deletions CHANGELOG.md
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Expand Up @@ -21,11 +21,11 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
- Linted and formatted all files
- Changed max. steps in some test files to improve test speed by 30%
## Fixed
- Sphinx docu build
- EESM ODE
- dq to abc action processor
- cos sin processor
- all examples to the current syntax
- #244 Sphinx docu build
- #233 EESM ODE update
- #224 DqToAbcActionProcessor uses now the correct angle to apply the dq to abc transformation
- #223 CosSinProcessor uses now the denormalized angel for calculating the sin and cos
- #253 #256 all examples to the current syntax

## [2.0.0] - 2023-08-15
## Added
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4 changes: 2 additions & 2 deletions README.md
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## Overview
The gym-electric-motor (GEM) package is a Python toolbox for the simulation and control of various electric motors.
It is built upon [Faram Gymnasium Environments](https://gymnasium.farama.org/), and, therefore, can be used for both, classical control simulation and [reinforcement learning](https://github.com/upb-lea/reinforcement_learning_course_materials) experiments. It allows you to construct a typical drive train with the usual building blocks, i.e., supply voltages, converters, electric motors and load models, and obtain not only a closed-loop simulation of this physical structure, but also a rich interface for plugging in any decision making algorithm, from linear feedback control to [Deep Deterministic Policy Gradient](https://spinningup.openai.com/en/latest/algorithms/ddpg.html) agents.
Since v2.0.1, gym-electric-motor control is integrated in gym-electric-motor and provide automated classical control structures for the environment of the Toolbox.
In addition, an automated framework for classical control structures based on PI controllers is provided.

## Getting Started
An easy way to get started with GEM is by playing around with the following interactive notebooks in Google Colaboratory. Most important features of GEM as well as application demonstrations are showcased, and give a kickstart for engineers in industry and academia.
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## Building Blocks
A GEM environment consists of following building blocks:
- Physical structure:
- Supply voltage
- Voltage supply
- Converter
- Electric motor
- Load model
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