Super-opposition spiral dynamic-based fuzzy control for an inverted pendulum system

This paper presents a hybrid spiral dynamic algorithm with a super-opposition spiral dynamic algorithm (SOSDA) strategy. An improvement on the spiral dynamic algorithm (SDA), this method uses a concept centered on opposition-based learning, which is used to evaluate the fitness of agents at the oppo...

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Main Authors: Ahmad Azwan, Abdul Razak, Ahmad Nor Kasruddin, Nasir, Nor Maniha, Abd Ghani
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science 2022
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/37427/
http://umpir.ump.edu.my/id/eprint/37427/1/Super-opposition%20spiral%20dynamic-based%20fuzzy%20control%20for%20an%20inverted%20pendulum%20system.pdf
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author Ahmad Azwan, Abdul Razak
Ahmad Nor Kasruddin, Nasir
Nor Maniha, Abd Ghani
author_facet Ahmad Azwan, Abdul Razak
Ahmad Nor Kasruddin, Nasir
Nor Maniha, Abd Ghani
author_sort Ahmad Azwan, Abdul Razak
building UMP Institutional Repository
collection Online Access
description This paper presents a hybrid spiral dynamic algorithm with a super-opposition spiral dynamic algorithm (SOSDA) strategy. An improvement on the spiral dynamic algorithm (SDA), this method uses a concept centered on opposition-based learning, which is used to evaluate the fitness of agents at the opposite location to the current solution. The SDA is a simple-structured and deterministic type of algorithm, which also performs competitively in terms of solution accuracy. However, its deterministic characteristic means the SDA suffers premature convergence caused by the unbalanced diversification and intensification during its search procedure. Thus, the algorithm fails to achieve highly accurate solutions. It is proposed that adopting super-opposition into the SDA would enable the deterministic and random techniques to complement one another. The SOSDA was tested on four benchmark functions and compared to the original SDA. To analyze the result statistically, the Friedman and Wilcoxon tests were conducted. Furthermore, the SOSDA was applied to optimize the parameters of an interval type-2 fuzzy logic control (IT2FLC) for an inverted pendulum (IP). The statistical results produced by the SOSDA for both benchmark functions and the IP show that the proposed algorithm significantly outperformed the SDA. The SOSDA-based IT2FLC scheme also produced better IP responses than the SDA-based IT2FLC.
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spelling ump-374272023-08-22T07:06:13Z http://umpir.ump.edu.my/id/eprint/37427/ Super-opposition spiral dynamic-based fuzzy control for an inverted pendulum system Ahmad Azwan, Abdul Razak Ahmad Nor Kasruddin, Nasir Nor Maniha, Abd Ghani T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering This paper presents a hybrid spiral dynamic algorithm with a super-opposition spiral dynamic algorithm (SOSDA) strategy. An improvement on the spiral dynamic algorithm (SDA), this method uses a concept centered on opposition-based learning, which is used to evaluate the fitness of agents at the opposite location to the current solution. The SDA is a simple-structured and deterministic type of algorithm, which also performs competitively in terms of solution accuracy. However, its deterministic characteristic means the SDA suffers premature convergence caused by the unbalanced diversification and intensification during its search procedure. Thus, the algorithm fails to achieve highly accurate solutions. It is proposed that adopting super-opposition into the SDA would enable the deterministic and random techniques to complement one another. The SOSDA was tested on four benchmark functions and compared to the original SDA. To analyze the result statistically, the Friedman and Wilcoxon tests were conducted. Furthermore, the SOSDA was applied to optimize the parameters of an interval type-2 fuzzy logic control (IT2FLC) for an inverted pendulum (IP). The statistical results produced by the SOSDA for both benchmark functions and the IP show that the proposed algorithm significantly outperformed the SDA. The SOSDA-based IT2FLC scheme also produced better IP responses than the SDA-based IT2FLC. Institute of Advanced Engineering and Science 2022-10 Article PeerReviewed pdf en cc_by_sa_4 http://umpir.ump.edu.my/id/eprint/37427/1/Super-opposition%20spiral%20dynamic-based%20fuzzy%20control%20for%20an%20inverted%20pendulum%20system.pdf Ahmad Azwan, Abdul Razak and Ahmad Nor Kasruddin, Nasir and Nor Maniha, Abd Ghani (2022) Super-opposition spiral dynamic-based fuzzy control for an inverted pendulum system. Bulletin of Electrical Engineering and Informatics, 11 (5). pp. 2737-2745. ISSN 2089-3191 (Print); 2302-9285 (Online). (Published) https://doi.org/10.11591/eei.v11i5.3825 https://doi.org/10.11591/eei.v11i5.3825
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Ahmad Azwan, Abdul Razak
Ahmad Nor Kasruddin, Nasir
Nor Maniha, Abd Ghani
Super-opposition spiral dynamic-based fuzzy control for an inverted pendulum system
title Super-opposition spiral dynamic-based fuzzy control for an inverted pendulum system
title_full Super-opposition spiral dynamic-based fuzzy control for an inverted pendulum system
title_fullStr Super-opposition spiral dynamic-based fuzzy control for an inverted pendulum system
title_full_unstemmed Super-opposition spiral dynamic-based fuzzy control for an inverted pendulum system
title_short Super-opposition spiral dynamic-based fuzzy control for an inverted pendulum system
title_sort super-opposition spiral dynamic-based fuzzy control for an inverted pendulum system
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
url http://umpir.ump.edu.my/id/eprint/37427/
http://umpir.ump.edu.my/id/eprint/37427/
http://umpir.ump.edu.my/id/eprint/37427/
http://umpir.ump.edu.my/id/eprint/37427/1/Super-opposition%20spiral%20dynamic-based%20fuzzy%20control%20for%20an%20inverted%20pendulum%20system.pdf