Feb 5, 2025 · Self balancing robot uses an accelerometer sensor to measure the robot’s angle and position, and a control system to adjust the motors and maintain its balance. The control system uses feedback loops to continuously adjust the robot’s position and keep it working.

This repository contains the code and documentation for building a self-balancing robot using an MPU6050 accelerometer and PID control. The project aims to create a robot that can maintain balance and controlled movement using sensor data.

IN this tutorial we will make an simple Arduino Nano based self balancing robot. This robot is based on MPU-6050. motion detector. To make this project we will require following parts, Arduino Nano: https://www.flyrobo.in/arduino_nano_r3_board_with_ch340_chip?tracking=ins.

Sep 1, 2017 · this is self balancing robot on two wheels using mpu6050 accelerometer.. The MPU 6050 is a 6 DOF (Degrees of Freedom) or a six-axis IMU sensor, which means that it gives six values as output. Three values from the accelerometer and three from the gyroscope.

In this instructable, I'll show you how to build a small self-balancing robot that can move around avoiding obstacles. This is a tiny robot measuring 4 inches wide and 4 inches tall and is based on the Arduino Pro Mini development board and the MPU6050 accelerometer-gyroscope module.

May 2, 2017 · How Does Balancing Work? To keep the robot balanced, the motors must counteract the robot falling. This action requires feedback and correcting elements. The feedback element is the MPU6050 gyroscope + accelerometer, which gives both acceleration and rotation in all three axes. The Arduino uses this to know the current orientation of the robot.

1) First Battery connect to 3.5 power jack of the arduino ( can be a 9V battery or 4x AA batteries or other as long as in the range of 6 to 12V). 2) MPU6050 Gy521 connect to the Arduino Uno (same pin for Arduino Nano) :

MPU-6050 is a 3-Axis accelerometer and 3-Axis gyroscope module on the same silicon together with an onboard Digital Motion Processor (DMP) capable of processing complex 9-axis Motion fusion algorithms. L298N motor driver is perfect for driving DC motors and Stepper motors. It can control 4 DC motors or 2 DC motors with direction and speed control.

Feb 7, 2022 · u (t) is the output of the PID loop Kp, Ki, and Kd are proportional, integral, and derivative coefficients. The value of u (t) is what drives the motors to achieve the required balance. The arduino code can be found in the github repository here.