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Arduino-Based Self-Balancing Robot

Arduino-Based Self-Balancing Robot is a two-wheeled robotic system that uses an MPU-6050 sensor and PID control to maintain balance dynamically. It processes tilt data in real-time using an Arduino Uno and adjusts motor speed to stay upright.

Price : 3500

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Course Content

Introduction

The Arduino-Based Self-Balancing Robot System with Bluetooth Module is a two-wheeled robot designed to maintain its balance using real-time sensor feedback and closed-loop control. What makes this system advanced is the integration of a Bluetooth module that enables wireless communication for remote monitoring and control using a smartphone or computer.

This robot simulates the concept of an inverted pendulum, a classic problem in control theory. It uses an MPU-6050 sensor (gyroscope + accelerometer) to measure tilt, an Arduino Uno for processing sensor data and executing control algorithms (like PID), and a motor driver to control two DC motors. The Bluetooth module (HC-05) allows for remote data visualization, system tuning, or manual override of movement via a mobile app or terminal interface.

Working Principle

The self-balancing robot uses real-time feedback to maintain an upright position:

  1. The MPU-6050 sensor continuously measures angular velocity and acceleration.

  2. This data is sent to the Arduino Uno, which calculates the current tilt angle using sensor fusion techniques.

  3. The PID controller in the Arduino determines the appropriate motor speed and direction to correct the tilt.

  4. The motor driver module controls the DC motors, which move forward or backward to restore balance.

  5. The Bluetooth module (HC-05) allows wireless transmission of data like tilt angle, motor speed, or PID values and also enables remote control commands from a mobile device.

  6. The loop continues in real time, achieving stable self-balancing while enabling wireless control.

Methodology

1. Sensor Integration

  • The MPU-6050 sensor is used to detect pitch (tilt) and angular velocity.

  • Data is read using I2C communication and filtered using a complementary or Kalman filter.

2. Control Algorithm

  • The filtered angle is passed into a PID control loop running on the Arduino Uno.

  • The PID controller calculates the necessary correction based on proportional, integral, and derivative components of the error.

3. Motor Control

  • The Arduino outputs PWM signals to the motor driver (L298N or L293D).

  • The driver adjusts the speed and direction of the two DC motors to counteract tilt.

4. Bluetooth Communication

  • An HC-05 Bluetooth module is connected to the Arduino’s serial pins.

  • It sends telemetry data (e.g., current tilt angle, motor output) to a mobile app or terminal.

  • It can also receive commands for manual tuning, start/stop, or remote control.

Components Used

Component Function
Arduino Uno Core microcontroller that processes sensor data and controls motors.
MPU-6050 6-axis sensor (accelerometer + gyroscope) to detect tilt and motion.
Motor Driver Module (L298N / L293D) Controls the direction and speed of the DC motors.
DC Motors (2) Provide drive force and balance correction through wheel motion.
HC-05 Bluetooth Module Enables wireless communication for data monitoring and control.
Power Supply Provides voltage to power the Arduino and motor driver.
Wheels and Chassis Structural base of the robot.
Jumper Wires & Breadboard Circuit prototyping and connections.

 

Block Diagram:

Block Diagram

 

 

IMAGES USED ARE ONLY FOR SAMPLE PURPOSES !!!!!!!