Spiral-sooty tern optimization algorithm for dynamic modelling of a twin rotor system

This paper presents a hybrid Spiral - Sooty Tern Algorithm (SSTA) which is an improved version of the original STOA. A spiral model is incorporated into the Sooty-Tern Optimization Algorithm (STOA) structure. A random switching is utilized to change from random-based to deterministic-based searching...

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Main Authors: Ahmad Nor Kasruddin, Nasir, Mohd Falfazli, Mat Jusof, Mohd Redzuan, Ahmad, Addie Irawan, Hashim
Format: Conference or Workshop Item
Language:English
English
Published: Institute of Electrical and Electronics Engineers Inc. 2022
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Online Access:http://umpir.ump.edu.my/id/eprint/39342/1/Spiral-sooty%20tern%20optimization%20algorithm%20for%20dynamic%20modelling%20of%20a%20twin.pdf
http://umpir.ump.edu.my/id/eprint/39342/2/Spiral-sooty%20tern%20optimization%20algorithm%20for%20dynamic%20modelling%20of%20a%20twin%20rotor%20system_ABS.pdf
http://umpir.ump.edu.my/id/eprint/39342/
https://doi.org/10.1109/ASYU56188.2022.9925274
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spelling my.ump.umpir.393422023-11-21T00:59:12Z http://umpir.ump.edu.my/id/eprint/39342/ Spiral-sooty tern optimization algorithm for dynamic modelling of a twin rotor system Ahmad Nor Kasruddin, Nasir Mohd Falfazli, Mat Jusof Mohd Redzuan, Ahmad Addie Irawan, Hashim T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering This paper presents a hybrid Spiral - Sooty Tern Algorithm (SSTA) which is an improved version of the original STOA. A spiral model is incorporated into the Sooty-Tern Optimization Algorithm (STOA) structure. A random switching is utilized to change from random-based to deterministic-based searching operations and vice versa. This is to balance between the exploration and exploitation of all searching agents throughout a feasible search area. For solving a real-world problem, the proposed SSTA algorithm in comparison to STOA is applied to optimize parameters of a linear Autoregressive-Exogenous (ARX) dynamic model for a twin rotor system. The dynamic modelling of the system is challenging in the presence of cross coupling effect between the main and tail rotors. 3000 pairs of captured input-output data from the system are used for the identification and optimization purpose. Result of the test has shown that the SSTA has achieved a better accuracy performance compared to the competing algorithm. For dynamic modelling of the nonlinear system, both SSTA and STOA have acquired a sufficiently good model for the twin rotor system. Institute of Electrical and Electronics Engineers Inc. 2022 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/39342/1/Spiral-sooty%20tern%20optimization%20algorithm%20for%20dynamic%20modelling%20of%20a%20twin.pdf pdf en http://umpir.ump.edu.my/id/eprint/39342/2/Spiral-sooty%20tern%20optimization%20algorithm%20for%20dynamic%20modelling%20of%20a%20twin%20rotor%20system_ABS.pdf Ahmad Nor Kasruddin, Nasir and Mohd Falfazli, Mat Jusof and Mohd Redzuan, Ahmad and Addie Irawan, Hashim (2022) Spiral-sooty tern optimization algorithm for dynamic modelling of a twin rotor system. In: Proceedings - 2022 Innovations in Intelligent Systems and Applications Conference, ASYU 2022, 7-9 September 2022 , Antalya. pp. 1-6. (183936). ISBN 978-166548894-5 https://doi.org/10.1109/ASYU56188.2022.9925274
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Ahmad Nor Kasruddin, Nasir
Mohd Falfazli, Mat Jusof
Mohd Redzuan, Ahmad
Addie Irawan, Hashim
Spiral-sooty tern optimization algorithm for dynamic modelling of a twin rotor system
description This paper presents a hybrid Spiral - Sooty Tern Algorithm (SSTA) which is an improved version of the original STOA. A spiral model is incorporated into the Sooty-Tern Optimization Algorithm (STOA) structure. A random switching is utilized to change from random-based to deterministic-based searching operations and vice versa. This is to balance between the exploration and exploitation of all searching agents throughout a feasible search area. For solving a real-world problem, the proposed SSTA algorithm in comparison to STOA is applied to optimize parameters of a linear Autoregressive-Exogenous (ARX) dynamic model for a twin rotor system. The dynamic modelling of the system is challenging in the presence of cross coupling effect between the main and tail rotors. 3000 pairs of captured input-output data from the system are used for the identification and optimization purpose. Result of the test has shown that the SSTA has achieved a better accuracy performance compared to the competing algorithm. For dynamic modelling of the nonlinear system, both SSTA and STOA have acquired a sufficiently good model for the twin rotor system.
format Conference or Workshop Item
author Ahmad Nor Kasruddin, Nasir
Mohd Falfazli, Mat Jusof
Mohd Redzuan, Ahmad
Addie Irawan, Hashim
author_facet Ahmad Nor Kasruddin, Nasir
Mohd Falfazli, Mat Jusof
Mohd Redzuan, Ahmad
Addie Irawan, Hashim
author_sort Ahmad Nor Kasruddin, Nasir
title Spiral-sooty tern optimization algorithm for dynamic modelling of a twin rotor system
title_short Spiral-sooty tern optimization algorithm for dynamic modelling of a twin rotor system
title_full Spiral-sooty tern optimization algorithm for dynamic modelling of a twin rotor system
title_fullStr Spiral-sooty tern optimization algorithm for dynamic modelling of a twin rotor system
title_full_unstemmed Spiral-sooty tern optimization algorithm for dynamic modelling of a twin rotor system
title_sort spiral-sooty tern optimization algorithm for dynamic modelling of a twin rotor system
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2022
url http://umpir.ump.edu.my/id/eprint/39342/1/Spiral-sooty%20tern%20optimization%20algorithm%20for%20dynamic%20modelling%20of%20a%20twin.pdf
http://umpir.ump.edu.my/id/eprint/39342/2/Spiral-sooty%20tern%20optimization%20algorithm%20for%20dynamic%20modelling%20of%20a%20twin%20rotor%20system_ABS.pdf
http://umpir.ump.edu.my/id/eprint/39342/
https://doi.org/10.1109/ASYU56188.2022.9925274
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score 13.232414