Motion control of triple links inverted pendulum on two-wheeled system using interval type-2 fuzzy logic control base on particle swarm optimization

This paper presents a motion control of a triple link inverted pendulum on two-wheeled system, through Interval Type-2 Fuzzy logic Control based Particle Swarm Optimization. Despite this model’s heightened non-linearity and complexity for being a triple link system, it has enabled additional degree...

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Main Authors: Muhammad Firdaus, Masrom, Normaniha, Abd Ghani, Nur Fadzlina, Jamin, Nur Atiqah Adlina, Razali
Format: Conference or Workshop Item
Language:English
Published: IEEE 2019
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/26800/
http://umpir.ump.edu.my/id/eprint/26800/1/Motion%20control%20of%20triple%20links%20inverted%20pendulum%20on%20two1.pdf
id ump-26800
recordtype eprints
spelling ump-268002019-12-10T08:30:28Z http://umpir.ump.edu.my/id/eprint/26800/ Motion control of triple links inverted pendulum on two-wheeled system using interval type-2 fuzzy logic control base on particle swarm optimization Muhammad Firdaus, Masrom Normaniha, Abd Ghani Nur Fadzlina, Jamin Nur Atiqah Adlina, Razali TK Electrical engineering. Electronics Nuclear engineering This paper presents a motion control of a triple link inverted pendulum on two-wheeled system, through Interval Type-2 Fuzzy logic Control based Particle Swarm Optimization. Despite this model’s heightened non-linearity and complexity for being a triple link system, it has enabled additional degree of freedom for having a two-wheeled mechanism. The model was developed in SimWise 4D to maintain its complex features, while allowing observations to the system’s movements. The developed system was then integrated with Interval Type-2 Fuzzy Logic Control, as designed in Matlab/Simulink. Specifically, Particle Swarm Optimization was applied to obtain the optimal values for input/output gain and parameters of the Interval Type-2 Fuzzy Logic Control, towards enhancing the system’s performance. Results have shown that the proposed controller was able to perform forward and backward motions control to the system in an upright position. The system is able to perform motion task with recorded system velocity of 0.04m/s and 0.02m/s for forward and backward motions, respectively. The controller was then evaluated based on its velocity and angular position or in stable manner. This system is envisaged to be very vital in the development of mobile robots with extended functionality. IEEE 2019 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26800/1/Motion%20control%20of%20triple%20links%20inverted%20pendulum%20on%20two1.pdf Muhammad Firdaus, Masrom and Normaniha, Abd Ghani and Nur Fadzlina, Jamin and Nur Atiqah Adlina, Razali (2019) Motion control of triple links inverted pendulum on two-wheeled system using interval type-2 fuzzy logic control base on particle swarm optimization. In: IEEE International Conference on Control System, Computing and Engineering (ICCSCE 2019), 29 November - 1 December 2019 , Batu Feringghi, Penang, Malaysia. pp. 1-6.. (Unpublished)
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Muhammad Firdaus, Masrom
Normaniha, Abd Ghani
Nur Fadzlina, Jamin
Nur Atiqah Adlina, Razali
Motion control of triple links inverted pendulum on two-wheeled system using interval type-2 fuzzy logic control base on particle swarm optimization
description This paper presents a motion control of a triple link inverted pendulum on two-wheeled system, through Interval Type-2 Fuzzy logic Control based Particle Swarm Optimization. Despite this model’s heightened non-linearity and complexity for being a triple link system, it has enabled additional degree of freedom for having a two-wheeled mechanism. The model was developed in SimWise 4D to maintain its complex features, while allowing observations to the system’s movements. The developed system was then integrated with Interval Type-2 Fuzzy Logic Control, as designed in Matlab/Simulink. Specifically, Particle Swarm Optimization was applied to obtain the optimal values for input/output gain and parameters of the Interval Type-2 Fuzzy Logic Control, towards enhancing the system’s performance. Results have shown that the proposed controller was able to perform forward and backward motions control to the system in an upright position. The system is able to perform motion task with recorded system velocity of 0.04m/s and 0.02m/s for forward and backward motions, respectively. The controller was then evaluated based on its velocity and angular position or in stable manner. This system is envisaged to be very vital in the development of mobile robots with extended functionality.
format Conference or Workshop Item
author Muhammad Firdaus, Masrom
Normaniha, Abd Ghani
Nur Fadzlina, Jamin
Nur Atiqah Adlina, Razali
author_facet Muhammad Firdaus, Masrom
Normaniha, Abd Ghani
Nur Fadzlina, Jamin
Nur Atiqah Adlina, Razali
author_sort Muhammad Firdaus, Masrom
title Motion control of triple links inverted pendulum on two-wheeled system using interval type-2 fuzzy logic control base on particle swarm optimization
title_short Motion control of triple links inverted pendulum on two-wheeled system using interval type-2 fuzzy logic control base on particle swarm optimization
title_full Motion control of triple links inverted pendulum on two-wheeled system using interval type-2 fuzzy logic control base on particle swarm optimization
title_fullStr Motion control of triple links inverted pendulum on two-wheeled system using interval type-2 fuzzy logic control base on particle swarm optimization
title_full_unstemmed Motion control of triple links inverted pendulum on two-wheeled system using interval type-2 fuzzy logic control base on particle swarm optimization
title_sort motion control of triple links inverted pendulum on two-wheeled system using interval type-2 fuzzy logic control base on particle swarm optimization
publisher IEEE
publishDate 2019
url http://umpir.ump.edu.my/id/eprint/26800/
http://umpir.ump.edu.my/id/eprint/26800/1/Motion%20control%20of%20triple%20links%20inverted%20pendulum%20on%20two1.pdf
first_indexed 2023-09-18T22:41:57Z
last_indexed 2023-09-18T22:41:57Z
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