Development of Self Balancing Arduino robot Table of content chapter

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Development of Self Balancing Arduino robot

Development of Self Balancing Arduino robot
Table of content


    1. Introduction

    2. Problem Statements

    3. Research Objectives

    4. Thesis Organization


    1. Study of Microprocessors

    2. Study of L298 Motor driver

    3. Study of programming of Arduino

    4. Study of Calibration Of MPU-6050

    5. Study of basic electronics (dc motor)

    6. Study of basic electric schemes

    7. Study Existing wireless control of Self Balancing Arduino robot

    8. Conclusion


    1. Introduction

    2. Necessary electronic parts of project

    3. Project’s connection diagram

    4. Project’s source code (programming)

    5. Conclusion


    1. Introduction

    2. Experiment of the developed Self Balancing Arduino robot

    3. Evaluation

    4. Strength and weakness

1.1 Introduction
Robotics has always been played an integral part of the human psyche. The dream of creating a machine that replicates human thought and physical characteristics extends throughout the existence of mankind. Developments in technology over the past fifty years have established the foundations of making these dreams come true. Robotics is now achievable through the miniaturisation of the microprocessors which performs the processing and computations. New forms of sensor devices are being developed all the time further providing machines with the ability to identify the world around them in so many different ways. To make a self-balancing robot, it is essential to solve the inverted pendulum problem or an inverted pendulum on cart. While the calculation and expressions are very complex, the goal is quite simple: the goal of the project is to adjust the wheels’ position so that the inclination angle remains stable within a pre-determined value, When the robot starts to fall in one direction, the wheels should move in the inclined direction with a speed proportional to angle and acceleration of falling to correct the inclination angle. So I get an idea that when the deviation from equilibrium is small, we should move “gently” and when the deviation is large we should move more quickly. To simplify things a little bit, I take a simple assumption; the robot’s movement should be confined on one axis (e.g. only move forward and backward) and thus both wheels will move at the same speed in the same direction. Under this assumption the mathematics become much simpler as we only need to worry about sensor readings on a single plane. If we want to allow the robot to move sidewise, then you will have to control each wheel independently. The general idea remains the same with a less complexity since the falling direction of the robot is still restricted to a single axis.

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