Performance Comparison Between Fuzzy Logic Controller (FLC) and PID Controller for a Highly Nonlinear Two-wheels Balancing Robot

Abstract—The research on two-wheels balancing robot has gained momentum due to their functionality and reliability when completing certain tasks. This paper presents investigations into the performance comparison of Fuzzy Logic Controller (FLC) and PID controller for a highly nonlinear 2– wheels b...

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Main Authors: Mohd Riduwan, Ghazali, Ahmad Nor Kasruddin, Nasir, Mohd Ashraf, Ahmad, Nasrul Salim, Pakheri
Format: Conference or Workshop Item
Language:English
Published: 2011
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/2306/
http://umpir.ump.edu.my/id/eprint/2306/1/ICI2011.pdf
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author Mohd Riduwan, Ghazali
Ahmad Nor Kasruddin, Nasir
Mohd Ashraf, Ahmad
Nasrul Salim, Pakheri
author_facet Mohd Riduwan, Ghazali
Ahmad Nor Kasruddin, Nasir
Mohd Ashraf, Ahmad
Nasrul Salim, Pakheri
author_sort Mohd Riduwan, Ghazali
building UMP Institutional Repository
collection Online Access
description Abstract—The research on two-wheels balancing robot has gained momentum due to their functionality and reliability when completing certain tasks. This paper presents investigations into the performance comparison of Fuzzy Logic Controller (FLC) and PID controller for a highly nonlinear 2– wheels balancing robot. The mathematical model of 2-wheels balancing robot that is highly nonlinear is derived. The final model suffers from mismatched condition. Two system responses namely the robot position and robot angular position are obtained. The performances of the FLC and PID controllers are examined in terms of input tracking capability. Simulation results of the responses of the nonlinear 2–wheels balancing robot are presented in time domain. A comparative assessment of both control schemes to the system performance is presented and discussed.
first_indexed 2025-11-15T01:15:11Z
format Conference or Workshop Item
id ump-2306
institution Universiti Malaysia Pahang
institution_category Local University
language English
last_indexed 2025-11-15T01:15:11Z
publishDate 2011
recordtype eprints
repository_type Digital Repository
spelling ump-23062018-03-19T06:17:26Z http://umpir.ump.edu.my/id/eprint/2306/ Performance Comparison Between Fuzzy Logic Controller (FLC) and PID Controller for a Highly Nonlinear Two-wheels Balancing Robot Mohd Riduwan, Ghazali Ahmad Nor Kasruddin, Nasir Mohd Ashraf, Ahmad Nasrul Salim, Pakheri TK Electrical engineering. Electronics Nuclear engineering Abstract—The research on two-wheels balancing robot has gained momentum due to their functionality and reliability when completing certain tasks. This paper presents investigations into the performance comparison of Fuzzy Logic Controller (FLC) and PID controller for a highly nonlinear 2– wheels balancing robot. The mathematical model of 2-wheels balancing robot that is highly nonlinear is derived. The final model suffers from mismatched condition. Two system responses namely the robot position and robot angular position are obtained. The performances of the FLC and PID controllers are examined in terms of input tracking capability. Simulation results of the responses of the nonlinear 2–wheels balancing robot are presented in time domain. A comparative assessment of both control schemes to the system performance is presented and discussed. 2011 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/2306/1/ICI2011.pdf Mohd Riduwan, Ghazali and Ahmad Nor Kasruddin, Nasir and Mohd Ashraf, Ahmad and Nasrul Salim, Pakheri (2011) Performance Comparison Between Fuzzy Logic Controller (FLC) and PID Controller for a Highly Nonlinear Two-wheels Balancing Robot. In: Informatics and Computational Intelligence 2011 (ICI 2011) , 12 14 Dec 2011 , Bandung, Indonesia. . (Unpublished) (Unpublished)
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Mohd Riduwan, Ghazali
Ahmad Nor Kasruddin, Nasir
Mohd Ashraf, Ahmad
Nasrul Salim, Pakheri
Performance Comparison Between Fuzzy Logic Controller (FLC) and PID Controller for a Highly Nonlinear Two-wheels Balancing Robot
title Performance Comparison Between Fuzzy Logic Controller (FLC) and PID Controller for a Highly Nonlinear Two-wheels Balancing Robot
title_full Performance Comparison Between Fuzzy Logic Controller (FLC) and PID Controller for a Highly Nonlinear Two-wheels Balancing Robot
title_fullStr Performance Comparison Between Fuzzy Logic Controller (FLC) and PID Controller for a Highly Nonlinear Two-wheels Balancing Robot
title_full_unstemmed Performance Comparison Between Fuzzy Logic Controller (FLC) and PID Controller for a Highly Nonlinear Two-wheels Balancing Robot
title_short Performance Comparison Between Fuzzy Logic Controller (FLC) and PID Controller for a Highly Nonlinear Two-wheels Balancing Robot
title_sort performance comparison between fuzzy logic controller (flc) and pid controller for a highly nonlinear two-wheels balancing robot
topic TK Electrical engineering. Electronics Nuclear engineering
url http://umpir.ump.edu.my/id/eprint/2306/
http://umpir.ump.edu.my/id/eprint/2306/1/ICI2011.pdf