Modeling and controller design for an inverted pendulum system

This paper presents the simulation study of several control strategies for an inverted pendulum system. The goal is to determine which control strategy delivers better performance with respect to pendulum’s angle and cart’s position. The inverted pendulum represents a challenging control problem...

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Main Author: Nasir, Ahmad Nor Kasruddin
Format: Thesis
Language:English
Published: 2007
Subjects:
Online Access:http://eprints.utm.my/6379/1/AhmadNorKasruddinNasirMFKE2007.pdf
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author Nasir, Ahmad Nor Kasruddin
author_facet Nasir, Ahmad Nor Kasruddin
author_sort Nasir, Ahmad Nor Kasruddin
collection ePrints
description This paper presents the simulation study of several control strategies for an inverted pendulum system. The goal is to determine which control strategy delivers better performance with respect to pendulum’s angle and cart’s position. The inverted pendulum represents a challenging control problem, which continually moves toward an uncontrolled state. Three controllers are presented i.e. proportional-integral-derivative (PID), linear quadratic regulator (LQR) for controlling the linear system of inverted pendulum and fuzzy logic controller (FLC) for controlling the non-linear system of inverted pendulum model. Simulation study has been done in Simulink shows that LQR produced better response compared to PID and FLC control strategies and offers considerable robustness.
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spelling utm.eprints-63792018-08-29T07:51:00Z http://eprints.utm.my/6379/ Modeling and controller design for an inverted pendulum system Nasir, Ahmad Nor Kasruddin TK Electrical engineering. Electronics Nuclear engineering This paper presents the simulation study of several control strategies for an inverted pendulum system. The goal is to determine which control strategy delivers better performance with respect to pendulum’s angle and cart’s position. The inverted pendulum represents a challenging control problem, which continually moves toward an uncontrolled state. Three controllers are presented i.e. proportional-integral-derivative (PID), linear quadratic regulator (LQR) for controlling the linear system of inverted pendulum and fuzzy logic controller (FLC) for controlling the non-linear system of inverted pendulum model. Simulation study has been done in Simulink shows that LQR produced better response compared to PID and FLC control strategies and offers considerable robustness. 2007-04 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/6379/1/AhmadNorKasruddinNasirMFKE2007.pdf Nasir, Ahmad Nor Kasruddin (2007) Modeling and controller design for an inverted pendulum system. Masters thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:62208
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Nasir, Ahmad Nor Kasruddin
Modeling and controller design for an inverted pendulum system
title Modeling and controller design for an inverted pendulum system
title_full Modeling and controller design for an inverted pendulum system
title_fullStr Modeling and controller design for an inverted pendulum system
title_full_unstemmed Modeling and controller design for an inverted pendulum system
title_short Modeling and controller design for an inverted pendulum system
title_sort modeling and controller design for an inverted pendulum system
topic TK Electrical engineering. Electronics Nuclear engineering
url http://eprints.utm.my/6379/1/AhmadNorKasruddinNasirMFKE2007.pdf
work_keys_str_mv AT nasirahmadnorkasruddin modelingandcontrollerdesignforaninvertedpendulumsystem