Performance analysis for stabilizing the inverted pendulum system using linear quadratic regulator and fuzzy logic controller / Mohamad Syafiq Mohd Arif

Performance analysis for stabilizing the inverted pendulum system using linear quadratic regulator and fuzzy logic controller / Mohamad Syafiq Mohd Arif

The inverted pendulum is a system that is not stable and require appropriate controllers to be stable. Inverted pendulum is referred by the researchers in control system engineering field for implementing various control theories. So, in this project the implementation of two controllers, Fuzzy Logi...

Full description

Saved in:
Bibliographic Details
Main Author: Mohd Arif, Mohamad Syafiq
Format: Thesis
Language:English
Published: 2018
Subjects:
Applications of electronics
Online Access:https://ir.uitm.edu.my/id/eprint/102936/1/102936.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-uitm-ir.102936
record_format uketd_dc
spelling my-uitm-ir.1029362024-11-18T01:18:40Z Performance analysis for stabilizing the inverted pendulum system using linear quadratic regulator and fuzzy logic controller / Mohamad Syafiq Mohd Arif 2018 Mohd Arif, Mohamad Syafiq Applications of electronics The inverted pendulum is a system that is not stable and require appropriate controllers to be stable. Inverted pendulum is referred by the researchers in control system engineering field for implementing various control theories. So, in this project the implementation of two controllers, Fuzzy Logic Controller (FLC) and Linear Quadratic Regulator (LQR) are studied to stabilize the inverted pendulum. This study focused on the 2 degree of freedom of inverted pendulum system using simulation of MATLAB Simulink. The development of both controllers are based on the transfer function and state space of inverted pendulum system developed by previous studies. The results of the analysis shows that both controllers could stabilize the inverted pendulum. But, the LQR controllers has the best response and better performance compared to FLC. So, based on this study the LQR controller is more suitable to be implemented with inverted pendulum in order to stabilize it. 2018 Thesis https://ir.uitm.edu.my/id/eprint/102936/ https://ir.uitm.edu.my/id/eprint/102936/1/102936.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Ab. Rahim, A'zraa Afhzan
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Ab. Rahim, A'zraa Afhzan
topic Applications of electronics
spellingShingle Applications of electronics
Mohd Arif, Mohamad Syafiq
Performance analysis for stabilizing the inverted pendulum system using linear quadratic regulator and fuzzy logic controller / Mohamad Syafiq Mohd Arif
description The inverted pendulum is a system that is not stable and require appropriate controllers to be stable. Inverted pendulum is referred by the researchers in control system engineering field for implementing various control theories. So, in this project the implementation of two controllers, Fuzzy Logic Controller (FLC) and Linear Quadratic Regulator (LQR) are studied to stabilize the inverted pendulum. This study focused on the 2 degree of freedom of inverted pendulum system using simulation of MATLAB Simulink. The development of both controllers are based on the transfer function and state space of inverted pendulum system developed by previous studies. The results of the analysis shows that both controllers could stabilize the inverted pendulum. But, the LQR controllers has the best response and better performance compared to FLC. So, based on this study the LQR controller is more suitable to be implemented with inverted pendulum in order to stabilize it.
format Thesis
qualification_level Bachelor degree
author Mohd Arif, Mohamad Syafiq
author_facet Mohd Arif, Mohamad Syafiq
author_sort Mohd Arif, Mohamad Syafiq
title Performance analysis for stabilizing the inverted pendulum system using linear quadratic regulator and fuzzy logic controller / Mohamad Syafiq Mohd Arif
title_short Performance analysis for stabilizing the inverted pendulum system using linear quadratic regulator and fuzzy logic controller / Mohamad Syafiq Mohd Arif
title_full Performance analysis for stabilizing the inverted pendulum system using linear quadratic regulator and fuzzy logic controller / Mohamad Syafiq Mohd Arif
title_fullStr Performance analysis for stabilizing the inverted pendulum system using linear quadratic regulator and fuzzy logic controller / Mohamad Syafiq Mohd Arif
title_full_unstemmed Performance analysis for stabilizing the inverted pendulum system using linear quadratic regulator and fuzzy logic controller / Mohamad Syafiq Mohd Arif
title_sort performance analysis for stabilizing the inverted pendulum system using linear quadratic regulator and fuzzy logic controller / mohamad syafiq mohd arif
granting_institution Universiti Teknologi MARA (UiTM)
granting_department Faculty of Electrical Engineering
publishDate 2018
url https://ir.uitm.edu.my/id/eprint/102936/1/102936.pdf
_version_ 1818588063737053184

Similar Items