⚡ BLDC_sim

A simulation framework for Brushless DC Motor (BLDC) control strategies with a Graphical User Interface (GUI).
This project implements PID-based, Lyapunov-based, and Field-Oriented Control (FOC) algorithms on a dynamic BLDC motor model.

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📂 Project Structure

.
├── main.py              # Entry point for running the simulator
├── runSimulator.sh      # Helper script to launch the simulator
├── requirements.txt     # Python dependencies
├── resources/           # Images, styles, and screenshots
├── src/                 # Source code (control, models, gui)
└── tests/               # Unit tests + venv

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🚀 Installation

Clone the repo and install dependencies:

git clone https://github.com/your-username/BLDC_sim.git
cd BLDC_sim

# (Optional) Create a virtual environment
python -m venv venv
source venv/bin/activate  # Linux/macOS
venv\Scripts\activate     # Windows

# Install required packages
pip install -r requirements.txt

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▶️ Running the Simulator

You can run directly with:

python main.py

Or use the provided script:

./runSimulator.sh

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🖼️ GUI – FOC Algorithm in Action

Below are screenshots of the Field-Oriented Control (FOC) algorithm (Control V3) running on the BLDC dynamic model:

Control V3 – Example 1	Control V3 – Example 2

Control V3 – Example 3	Control V3 – Example 4

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🛠️ Control Strategies Implemented

• Control V1 → Basic PID speed control (Trapezoidal conmutation)
• Control V2 → PID with Lyapunov-based torque regulation
• Control V3 (FOC) → Field-Oriented Control with virtual speed loop

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