Opposition-sooty tern algorithm for fuzzy control optimization of an inverted pendulum system

This paper presents a novel Opposition-Sooty Tern Algorithm (OSTA) which is an improved version of the original Sooty- Tern Optimization Algorithm (STOA). An opposition scheme is incorporated into the STOA structure. This is to enhance the exploration and exploitation of all searching agents through...

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Main Authors: Ahmad Nor Kasruddin, Nasir, Mohd Falfazli, Mat Jusof, Nor Maniha, Abdul Ghani, Raja Mohd Taufika, Raja Ismail
Format: Conference or Workshop Item
Language:English
English
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/39341/1/Opposition-sooty%20tern%20algorithm%20for%20fuzzy%20control%20optimization%20of%20an%20inverted.pdf
http://umpir.ump.edu.my/id/eprint/39341/2/Opposition-sooty%20tern%20algorithm%20for%20fuzzy%20control%20optimization%20of%20an%20inverted%20pendulum%20system_ABS.pdf
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author Ahmad Nor Kasruddin, Nasir
Mohd Falfazli, Mat Jusof
Nor Maniha, Abdul Ghani
Raja Mohd Taufika, Raja Ismail
author_facet Ahmad Nor Kasruddin, Nasir
Mohd Falfazli, Mat Jusof
Nor Maniha, Abdul Ghani
Raja Mohd Taufika, Raja Ismail
author_sort Ahmad Nor Kasruddin, Nasir
collection UMP
description This paper presents a novel Opposition-Sooty Tern Algorithm (OSTA) which is an improved version of the original Sooty- Tern Optimization Algorithm (STOA). An opposition scheme is incorporated into the STOA structure. This is to enhance the exploration and exploitation of all searching agents throughout a feasible search area. In solving a real-world problem, the algorithm is applied to optimize parameters of a fuzzy logic model for controlling cart's position and pendulum's angle of an inverted pendulum system. Result of the optimization test shows the OSTA has a better accuracy performance compared to its predecessor algorithm. For controlling the inverted pendulum, both OSTA and STOA acquired sufficiently good control performance for the system. However, the fuzzy control scheme optimized by OSTA has resulted in a better tracking and control performance for both cart's position and pendulum's angle.
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spelling UMPir393412023-11-21T00:50:56Z http://umpir.ump.edu.my/id/eprint/39341/ Opposition-sooty tern algorithm for fuzzy control optimization of an inverted pendulum system Ahmad Nor Kasruddin, Nasir Mohd Falfazli, Mat Jusof Nor Maniha, Abdul Ghani Raja Mohd Taufika, Raja Ismail T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering This paper presents a novel Opposition-Sooty Tern Algorithm (OSTA) which is an improved version of the original Sooty- Tern Optimization Algorithm (STOA). An opposition scheme is incorporated into the STOA structure. This is to enhance the exploration and exploitation of all searching agents throughout a feasible search area. In solving a real-world problem, the algorithm is applied to optimize parameters of a fuzzy logic model for controlling cart's position and pendulum's angle of an inverted pendulum system. Result of the optimization test shows the OSTA has a better accuracy performance compared to its predecessor algorithm. For controlling the inverted pendulum, both OSTA and STOA acquired sufficiently good control performance for the system. However, the fuzzy control scheme optimized by OSTA has resulted in a better tracking and control performance for both cart's position and pendulum's angle. Institute of Electrical and Electronics Engineers Inc. 2022 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/39341/1/Opposition-sooty%20tern%20algorithm%20for%20fuzzy%20control%20optimization%20of%20an%20inverted.pdf pdf en http://umpir.ump.edu.my/id/eprint/39341/2/Opposition-sooty%20tern%20algorithm%20for%20fuzzy%20control%20optimization%20of%20an%20inverted%20pendulum%20system_ABS.pdf Ahmad Nor Kasruddin, Nasir and Mohd Falfazli, Mat Jusof and Nor Maniha, Abdul Ghani and Raja Mohd Taufika, Raja Ismail (2022) Opposition-sooty tern algorithm for fuzzy control optimization of an inverted pendulum system. In: Proceedings - 2022 Innovations in Intelligent Systems and Applications Conference, ASYU 2022 , 7-9 September 2022 , Antalya. pp. 1-5. (183936). ISBN 978-166548894-5 (Published) https://doi.org/10.1109/ASYU56188.2022.9925566
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Ahmad Nor Kasruddin, Nasir
Mohd Falfazli, Mat Jusof
Nor Maniha, Abdul Ghani
Raja Mohd Taufika, Raja Ismail
Opposition-sooty tern algorithm for fuzzy control optimization of an inverted pendulum system
title Opposition-sooty tern algorithm for fuzzy control optimization of an inverted pendulum system
title_full Opposition-sooty tern algorithm for fuzzy control optimization of an inverted pendulum system
title_fullStr Opposition-sooty tern algorithm for fuzzy control optimization of an inverted pendulum system
title_full_unstemmed Opposition-sooty tern algorithm for fuzzy control optimization of an inverted pendulum system
title_short Opposition-sooty tern algorithm for fuzzy control optimization of an inverted pendulum system
title_sort opposition sooty tern algorithm for fuzzy control optimization of 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/39341/1/Opposition-sooty%20tern%20algorithm%20for%20fuzzy%20control%20optimization%20of%20an%20inverted.pdf
http://umpir.ump.edu.my/id/eprint/39341/2/Opposition-sooty%20tern%20algorithm%20for%20fuzzy%20control%20optimization%20of%20an%20inverted%20pendulum%20system_ABS.pdf
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