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

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

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Abstract

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.

Item Type:	Conference or Workshop Item (Lecture)
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	ARX; parametric modelling; Sooty-Tern algorithm; Spiral dynamic; Twin rotor system
Subjects:	T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	College of Engineering Faculty of Electrical and Electronic Engineering Technology
Depositing User:	Mr Muhamad Firdaus Janih@Jaini
Date Deposited:	21 Nov 2023 00:59
Last Modified:	21 Nov 2023 00:59
URI:	http://umpir.ump.edu.my/id/eprint/39342
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