Self balancing robot using arduino with wifi control system

Self balancing robot using arduino with wifi control system
Self balancing robot using arduino,with wifi,control system
Self balancing robot using arduino

 

Self balancing robot using arduino with wifi control system

In this article, we will learn how to make Self balancing robot using arduino with wifi control system.

In the last post, we learned how to make Electricity Energy meter using ESP32 projects.

 

 

 

 

 

 

 

Components Required:

  1. Arduino UNO
  2. Accelerometer (MPU6050)
  3. Motor driver
  4. DC motors
  5. ESP32 (Wi-Fi module)
  6. Wheels
  7. Batteries (Power source)
  8. Jumper wires

Self balancing robot:

A self-balancing robot is a fascinating project involving hardware and software to create a robot that can maintain its balance on two wheels. It typically uses sensors to detect the robot’s tilt or orientation and adjusts the motors to keep it upright.

Self balancing robot using arduino with wifi control system
Self balancing robot using arduino

Steps to Create a Self-Balancing Robot:

Hardware Setup:

  • Assemble the Robot: Construct the physical structure using the chassis, wheels, and motors. Mount the Arduino and other components securely.
  • Connect MPU6050: Wire the MPU6050 sensor to the Arduino. This sensor will provide data about the robot’s tilt and movement.
  • Motor Driver Connections: Connect the motor driver to the Arduino. This will allow you to control the motors based on sensor readings.
  • Power Supply: Ensure a stable power source for both the motors and the Arduino. Batteries or a power bank are common choices.

Software Implementation:

  • Sensor Data Reading: Program the Arduino to read data from the MPU6050 sensor to detect the robot’s angle and movement.
  • PID Control: Implement a PID (Proportional-Integral-Derivative) control algorithm. This algorithm uses sensor data to adjust the motors’ speed and keep the robot balanced.
  • Motor Control: Write code to control the motors through the motor driver. Use the PID algorithm output to adjust motor speed and direction for balance.
  • Calibration and Testing: Calibrate the sensor and fine-tune the PID parameters. Test the robot’s balancing capabilities in a safe environment.

Usages:

  1. Education and Learning:
  2. Research and Development:
  3. Remote Surveillance:
  4. Assistance and Support:
  5. Home Automation:

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