Drone Control Project

This project implements a drone control system using an ESP32 microcontroller, an MPU6050 sensor for motion sensing, and an RC transmitter and receiver for user inputs. The project incorporates a Kalman filter for improved stability and precision in flight control.

Table of Contents

• Components
• Project Structure
• Installation
• Usage
• Testing
• License

Components

Hardware Components

• ESP32: A powerful microcontroller with built-in Wi-Fi and Bluetooth capabilities, perfect for IoT applications.

• MPU6050: A 6-axis motion tracking device that includes a gyroscope and an accelerometer. It provides orientation data which is crucial for stabilizing the drone.

• Electronic Speed Controllers (ESC): Used to control the speed of the brushless motors. The project uses 4 ESCs to control the motors of the drone.

• RC Transmitter and Receiver: A radio control system that allows the user to send throttle, yaw, pitch, and roll commands to the drone.

Software Components

• Arduino IDE: The development environment used to write, upload, and debug the Arduino sketches.

• Kalman Filter: An algorithm used to combine data from the MPU6050 sensor and improve the accuracy of motion tracking by minimizing noise.

Project Structure

project-root/
├── final/                            # Final working codes
│   ├── Drone.ino                     # Main drone control code
│   ├── gyro_signals.h                # Header file for gyroscope signals
│   └── RC_module.h                   # Header file for RC module
├── testing/                           # Testing codes
│   ├── basic-bluetooth-connectivity.ino # Testing Bluetooth connectivity
│   └── Reciever-paring.ino           # Testing receiver pairing
├── docs/                              # Documentation (optional)
│   ├── README.md                      # Documentation for the project
│   └── LICENSE                        # License file
└── .gitignore                         # Git ignore file (optional)

Installation

To set up the project on your local machine, follow these steps:

1. Clone the Repository:

   git clone https://github.com/OmBiradar/Drone.git
   cd Drone

2. Open the Project in Arduino IDE:

   • Launch the Arduino IDE and open the .ino files from the final/ directory.

3. Install Required Libraries:

   • Ensure that you have installed the required libraries for the MPU6050 and any other dependencies in the Arduino IDE.

4. Upload the Code:

   • Connect your ESP32 to your computer and upload the Drone.ino file to the microcontroller.

Usage

1. Power On the Drone: Make sure all components are connected correctly and powered on.

2. Connect RC Transmitter: Ensure the RC transmitter is bound to the receiver.

3. Launch the Drone: Use the throttle, yaw, pitch, and roll controls on the transmitter to control the drone.

4. Monitor Output: Use the Serial Monitor in the Arduino IDE to observe the gyroscope signals and user inputs in real time.

Testing

Testing code is located in the testing/ directory. Each test file corresponds to specific components of the project:

• basic-bluetooth-connectivity.ino: Contains tests for validating Bluetooth connectivity.
• Reciever-paring.ino: Contains tests for validating the receiver pairing functionality.

Running Tests

To run tests, open the respective test .ino file in the Arduino IDE and upload it to the ESP32.

Acknowledgments

• Thanks to the open-source community for their libraries and resources that made this project possible.
• Special thanks to the contributors of the Arduino and ESP32 platforms.