Controlling An-Inverted Pendulum System Using A Microcontroller

A self-balancing robot is basically an inverted pendulum. It can balance better if the centre of mass is higher than the wheel axels. A greater centre of mass equals a higher moment of inertia, which equals a lower angular acceleration. Particularly during movement, a well-implemented TWSB robot i...

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Main Author: Mohamad Zahari, Ahmad Amirul
Format: Monograph
Language:English
Published: Universiti Sains Malaysia 2022
Subjects:
Online Access:http://eprints.usm.my/55462/1/Controlling%20An-Inverted%20Pendulum%20System%20Using%20A%20Microcontroller_Ahmad%20Amirul%20Mohamad%20Zahari.pdf
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spelling my.usm.eprints.55462 http://eprints.usm.my/55462/ Controlling An-Inverted Pendulum System Using A Microcontroller Mohamad Zahari, Ahmad Amirul T Technology TJ Mechanical engineering and machinery A self-balancing robot is basically an inverted pendulum. It can balance better if the centre of mass is higher than the wheel axels. A greater centre of mass equals a higher moment of inertia, which equals a lower angular acceleration. Particularly during movement, a well-implemented TWSB robot is able to maintain an upright stance. The majority of papers focus on either creating controllers through the implementation of low-level microcontroller units, such as Arduino Uno, or on dynamic modelling features in which simulation findings are used to decide results rather than real-world applications. This study will concentrate on comparing simulation results to the actual installation of a TWSB robot since fewer researchers have done so. This project intends to study the performance of the produced TWSB robot, examine the applicability of MATLAB to the programming of the TWSB robot, and compare the performance of the TWSB robot to the simulation results from MATLAB. Concurrently, a comparison is made between the present project and earlier work to assess the advantages and disadvantages of each. In this instance, a TWSB robot is constructed utilising an Arduino UNO microcontroller and a PID algorithm controller. The MPU 6050 gyroscope is calibrated before being mounted to the robot in order to maximise the accuracy of the acquired results by determining offset values. MATLAB is used to establish the appropriate control term values for the PID controller in order to replace the human tuning procedure and facilitate the stabilisation of the TWSB robot. According to the results, control term values of Kp = 64, Ki = 45, and Kd = 1.3 are adequate to maintain the posture of the TWSB robot, enabling it to maintain stability on a variety of surfaces, including flat and uneven surfaces, with or without the application of forces and obstructions. Universiti Sains Malaysia 2022-07-24 Monograph NonPeerReviewed application/pdf en http://eprints.usm.my/55462/1/Controlling%20An-Inverted%20Pendulum%20System%20Using%20A%20Microcontroller_Ahmad%20Amirul%20Mohamad%20Zahari.pdf Mohamad Zahari, Ahmad Amirul (2022) Controlling An-Inverted Pendulum System Using A Microcontroller. Project Report. Universiti Sains Malaysia, Pusat Pengajian Kejuruteraan Mekanikal. (Submitted)
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
language English
topic T Technology
TJ Mechanical engineering and machinery
spellingShingle T Technology
TJ Mechanical engineering and machinery
Mohamad Zahari, Ahmad Amirul
Controlling An-Inverted Pendulum System Using A Microcontroller
description A self-balancing robot is basically an inverted pendulum. It can balance better if the centre of mass is higher than the wheel axels. A greater centre of mass equals a higher moment of inertia, which equals a lower angular acceleration. Particularly during movement, a well-implemented TWSB robot is able to maintain an upright stance. The majority of papers focus on either creating controllers through the implementation of low-level microcontroller units, such as Arduino Uno, or on dynamic modelling features in which simulation findings are used to decide results rather than real-world applications. This study will concentrate on comparing simulation results to the actual installation of a TWSB robot since fewer researchers have done so. This project intends to study the performance of the produced TWSB robot, examine the applicability of MATLAB to the programming of the TWSB robot, and compare the performance of the TWSB robot to the simulation results from MATLAB. Concurrently, a comparison is made between the present project and earlier work to assess the advantages and disadvantages of each. In this instance, a TWSB robot is constructed utilising an Arduino UNO microcontroller and a PID algorithm controller. The MPU 6050 gyroscope is calibrated before being mounted to the robot in order to maximise the accuracy of the acquired results by determining offset values. MATLAB is used to establish the appropriate control term values for the PID controller in order to replace the human tuning procedure and facilitate the stabilisation of the TWSB robot. According to the results, control term values of Kp = 64, Ki = 45, and Kd = 1.3 are adequate to maintain the posture of the TWSB robot, enabling it to maintain stability on a variety of surfaces, including flat and uneven surfaces, with or without the application of forces and obstructions.
format Monograph
author Mohamad Zahari, Ahmad Amirul
author_facet Mohamad Zahari, Ahmad Amirul
author_sort Mohamad Zahari, Ahmad Amirul
title Controlling An-Inverted Pendulum System Using A Microcontroller
title_short Controlling An-Inverted Pendulum System Using A Microcontroller
title_full Controlling An-Inverted Pendulum System Using A Microcontroller
title_fullStr Controlling An-Inverted Pendulum System Using A Microcontroller
title_full_unstemmed Controlling An-Inverted Pendulum System Using A Microcontroller
title_sort controlling an-inverted pendulum system using a microcontroller
publisher Universiti Sains Malaysia
publishDate 2022
url http://eprints.usm.my/55462/1/Controlling%20An-Inverted%20Pendulum%20System%20Using%20A%20Microcontroller_Ahmad%20Amirul%20Mohamad%20Zahari.pdf
http://eprints.usm.my/55462/
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score 13.160551